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Добірка наукової літератури з теми "BIOMETRICAL"

Автор: Grafiati

Опубліковано: 11 вересня 2023

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Статті в журналах з теми "BIOMETRICAL"

1

Babenko, L. K., O. B. Makarevitch, and E. P. Tumoian. "BIOMETRICAL CRYPTOSYSTEMS. A WAY TO SECURED BIOMETRICS." Vestnik Yuzhnogo nauchnogo tsentra 1, no. 3 (2005): 95–99. http://dx.doi.org/10.23885/1813-4289-2005-1-3-95-99.

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2

Žagar, Dejan, Matija Svetina, Tanja Brcko, Marko Perkovič, Franc Dimc, and Andrej Košir. "Analysis of Marine-Pilot Biometric Data Recordings during Port-Approach Using a Full-Mission Simulator." Sensors 22, no. 7 (March 31, 2022): 2701. http://dx.doi.org/10.3390/s22072701.

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Анотація:

The purpose of this study is to analyse data from the marine pilots’ bio-sensor readings to determine how experience affects their biometrical response during the port approach. The experiences play a significant role in the participant’s decision-making process and correlate with the repetitions. Through the repetitions of the experimental task, the participants gain experience, which correlates with the biometrical response, e.g., heart rate, electrodermal activity, etc. After exposing the two experience-distinct groups of participants to the same simulated port-approaching task, their collected biometric data is analysed and discussed. The results show that biometrical readings of the less experienced participants typically vary compared to that of the experienced participants, who take the simulated task more seriously. The study also yields insight into the workload process, involving disturbing factors during the task.

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3

Evans, David M., N. A. Gillespie, and N. G. Martin. "Biometrical genetics." Biological Psychology 61, no. 1-2 (October 2002): 33–51. http://dx.doi.org/10.1016/s0301-0511(02)00051-0.

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4

Sheranova, Arzuu. "Cheating the Machine: E-voting Practices in Kyrgyzstan’s Local Elections." European Review 28, no. 5 (March 26, 2020): 793–809. http://dx.doi.org/10.1017/s1062798720000241.

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Анотація:

This paper analyses the e-voting experience of the local elections undertaken by Osh city Council in 2016. The process was introduced to ensure fair and democratic elections in Kyrgyzstan after continuous and repeated violent political uprising. The e-system, based on biometrics registration, biometric identification of voters and automated vote counting, was designed to help to avoid the most common election frauds: vote buying, carousel voting and group/family voting. The case study, mainly based on interviews, illustrates the adaptation and modernization of strategies to resist and cheat within the e-voting system. The analysis outlines three widely practised cheating strategies: procedural violations, such as avoiding cross-checking of manual and automated counting and allowing voting without biometrical identification; transformation of bribery into ‘vote auctioning’; and strengthening of kinship-based/regional support and tribal/regional identity under conditions of e-voting.

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5

Salman, Duha D., Raghad A. Azeez, and Adul mohssen J. Hossen. "Key Generation from Multibiometric System Using Meerkat Algorithm." Engineering and Technology Journal 38, no. 3B (December 25, 2020): 115–27. http://dx.doi.org/10.30684/etj.v38i3b.652.

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Biometrics are short of revocability and privacy while cryptography cannot adjust the user’s identity. By obtaining cryptographic keys using biometrics, one can obtain the features such as revocability, assurance about user’s identity, and privacy. Multi-biometrical based cryptographic key generation approach has been proposed, subsequently, left and right eye and ear of a person are uncorrelated from one to other, and they are treated as two independent biometrics and combine them in our system. None-the-less, the encryption keys are produced with the use of an approach of swarm intelligence. Emergent collective intelligence in groups of simple autonomous agents is collectively termed as a swarm intelligence. The Meerkat Clan Key Generation Algorithm (MCKGA) is a method for the generation of a key stream for the encryption of the plaintext. This method will reduce and distribute the number of keys. Testing of system, it was found that the keys produced by the characteristics of the eye are better than the keys produced by the characteristics of the ear. The advantages of our approach comprise generation of strong and unique keys from users’ biometric data using MCKGA and it is faster and accurate in terms of key generation.

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6

Salman, Duha D., Raghad A. Azeez, and Adul mohssen J. Hossen. "Key Generation from Multibiometric System Using Meerkat Algorithm." Engineering and Technology Journal 38, no. 3B (December 25, 2020): 115–27. http://dx.doi.org/10.30684/etj.v38i3b.652.

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Анотація:

Biometrics are short of revocability and privacy while cryptography cannot adjust the user’s identity. By obtaining cryptographic keys using biometrics, one can obtain the features such as revocability, assurance about user’s identity, and privacy. Multi-biometrical based cryptographic key generation approach has been proposed, subsequently, left and right eye and ear of a person are uncorrelated from one to other, and they are treated as two independent biometrics and combine them in our system. None-the-less, the encryption keys are produced with the use of an approach of swarm intelligence. Emergent collective intelligence in groups of simple autonomous agents is collectively termed as a swarm intelligence. The Meerkat Clan Key Generation Algorithm (MCKGA) is a method for the generation of a key stream for the encryption of the plaintext. This method will reduce and distribute the number of keys. Testing of system, it was found that the keys produced by the characteristics of the eye are better than the keys produced by the characteristics of the ear. The advantages of our approach comprise generation of strong and unique keys from users’ biometric data using MCKGA and it is faster and accurate in terms of key generation.

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7

Chmielińska, Jolanta, and Jacek Jakubowski. "Biometrical driver face verification." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 19, no. 6 (September 7, 2018): 68–72. http://dx.doi.org/10.24136/atest.2018.039.

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Анотація:

The paper discusses the problem of face verification in a driver monitoring system for the purpose of traffic safety. Two different methods of face verification were proposed. Both of them are based on a convolutional neural network and were developed with the use of a transfer learning technique. In the paper, the results produced by both proposed method have been presented and compared. Moreover, their advantages and disadvantages have been discussed.

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8

Ruttner, Friedrich. "Biometrical Control of Breeding." Journal of Apicultural Research 30, no. 2 (January 1991): 113–14. http://dx.doi.org/10.1080/00218839.1991.11101243.

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9

Berghold, Andrea, Hans Ulrich Burger, Ludwig A. Hothorn, and Andreas Ziegler. "50 Years Biometrical Journal." Biometrical Journal 50, no. 1 (February 2008): 5–7. http://dx.doi.org/10.1002/bimj.200710394.

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10

Lodge, Juliet, and Dan Nagel. "Interview with Isabelle Moeller: Ubiquitous and Positive Biometrics." International Review of Information Ethics 27 (December 1, 2018). http://dx.doi.org/10.29173/irie102.

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Анотація:

In this interview with Isabelle Moeller questions surrounding the responsible use and development of biometric apps are explored. The use of biometrics - originally to digitally represent and authenticate an identifiable characteristic of a product or a person - have become so wide spread that they are capable of facilitating ever greater continuous surveillance of the what, how, when and where of life. The more biometrical data of a user is collected, the more the integrity of the underlying e-identity is open to fraud and being invisibly compromised. Ethical reflection is long overdue but a prerequisite of minimizing risk to the autonomy of the human person as well as to the integrity of his digital persona.

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Дисертації з теми "BIOMETRICAL"

1

Weston, Eleanor Mary. "A biometrical analysis of evolutionary change within the Hippopotamidae." Thesis, University of Cambridge, 1998. https://www.repository.cam.ac.uk/handle/1810/283727.

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2

Schützenmeister, André [Verfasser], and Hans-Peter [Akademischer Betreuer] Piepho. "Biometrical tools for heterosis research / André Schützenmeister. Betreuer: Hans-Peter Piepho." Hohenheim : Kommunikations-, Informations- und Medienzentrum der Universität Hohenheim, 2011. http://d-nb.info/1027291694/34.

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3

Holeksa, David. "Návrh audio-vizuální databáze pro extrakci sekundárních biometrických a ne-biometrických znaků." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-220544.

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Анотація:

The aim of this semester project is to design a suitable database structure for the audio-visual data, parts extracted from the data corresponding to secondary biometric and non-biometric characteristics and description of these characters. The resulting database will be used for research into the identification of audio-visual content of multimedia data.

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4

Hartung, Karin. "Biometrical approaches for analysing gene bank evaluation data on barley (Hordeum spec.)." [S.l. : s.n.], 2007. http://nbn-resolving.de/urn:nbn:de:bsz:100-opus-2251.

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5

Pamplin, Gary David. "A biometrical investigation into the relationship between vertebral joint osteophytosis and body proportion biomechanics." Thesis, Bournemouth University, 2009. http://eprints.bournemouth.ac.uk/13138/.

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Анотація:

Occupational loading is a significant risk factor for back pain and vertebral joint disease. Although biomechanical principles predict that spinal loading is affected by body proportion, particularly with differences in upper to lower body measurements, these differences have not previously been investigated in anthropometrical studies. This research is innovative as it aims to provide a functional explanation for vertebral pathology through the use of biomechanical models and the study of biometric data from documented skeletal samples. Particular emphasis is placed on occupation and occupational health in the 18th and 19th Century silk weaving community. Appendicular and axial measurements were recorded along with the presence and severity of vertebral osteophytes. Ratio variables were created in order to investigate the biomechanical models. The frequency of vertebral osteophytosis was determined in relation to sex and age-at-death. Statistical analyses were performed with regards to age-at-death and both vertebral osteophytosis and the metric measurements, as well as between sex and the metric variables. The association between vertebral osteophytes and the metric variables was also analysed. A significant interaction was observed between age-at-death and both vertebral osteophytes and the metric measurements, which was subsequently controlled for in the statistical analyses. In males, vertebral osteophytes in the lower thoracic and lumbar spine were associated with greater skeletal measurements, while those in the cervical and mid thoracic region were related to smaller dimensions. In females, osteophytes were for the most part associated with larger measurements. The analyses of the ratio variables showed that vertebral osteophytes were significantly associated with larger upper to lower body dimensions in males. The skeletal measurement results suggest that there was either an ergonomic constraint in the working environment, possibly as a result of equipment size and/or operation, or a propensity towards specific occupations being linked to body size, which is supported by contemporary accounts. The ratio variable results substantiate the predictions of the biomechanical models that a greater upper to lower body size ratio is associated with increased spinal loading.

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6

Gancarčík, Lukáš. "Vicefaktorová autentizace elektronických dokumentů." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2013. http://www.nusl.cz/ntk/nusl-224008.

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Анотація:

The aim of the thesis is to provide complete information regarding electronic documents and possibilities of their usage. The focus is concentrated on the area of authentication, which specifies the possibility of obtaining authentication information and describes the authentication processes itself. The diploma thesis also deals with the suggestion of multifactor authentication of electronic documents for the selected company.

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7

Janitza, Silke [Verfasser]. "Resampling Approaches in Biometrical Applications: Developments in Random Forests and in Bootstrap-based Procedures / Silke Janitza." München : Verlag Dr. Hut, 2016. http://d-nb.info/1113335491/34.

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8

Janitza, Silke [Verfasser], and Anne-Laure [Akademischer Betreuer] Boulesteix. "Resampling approaches in biometrical applications : developments in random forests and in bootstrap-based procedures / Silke Janitza. Betreuer: Anne-Laure Boulesteix." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2016. http://d-nb.info/1110749074/34.

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9

Pereira, Tiago de Freitas 1985. "A comparative study of countermeasures to detect spoofing attacks in face authentication systems = Um estudo comparativo de contramedidas para detectar ataques de spoofing em sistemas de autenticação de faces." [s.n.], 2013. http://repositorio.unicamp.br/jspui/handle/REPOSIP/261478.

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Анотація:

Orientador: José Mario De Martino
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação
Made available in DSpace on 2018-08-23T20:06:41Z (GMT). No. of bitstreams: 1 Pereira_TiagodeFreitas_M.pdf: 17638731 bytes, checksum: 15a8d07214e3b31accd3218e5bde20cb (MD5) Previous issue date: 2013
Resumo: O Resumo poderá ser visualizado no texto completo da tese digital
Abstract: The complete Abstract is available with the full electronic document.
Mestrado
Engenharia de Computação
Mestre em Engenharia Elétrica

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10

Janečka, Petr. "Multimodální biometrický systém kombinující duhovku a sítnici." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-234910.

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Анотація:

This diploma thesis focuses on multibiometric systems, specifically on biometric fusion. The thesis describes eye biometrics, i.e. recognition based on retina and iris. The key part consists of design and implementation specification of a biometric system based on retina and iris recognition.

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Більше джерел

Книги з теми "BIOMETRICAL"

1

Virk, Daljit Singh. Biometrical genetics and plant breeding. Birmingham: University of Birmingham, 1991.

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2

Thalib, A. T. L. Biometrical analysis of Nicotiana and sunflower. Birmingham: University of Birmingham, 1993.

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3

Treharne, Andrew John. The biometrical analysis of quantitative variation. Birmingham: University of Birmingham, 1994.

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4

Perera, Athula L. T. Biometrical genetic studies in rice (Oryza sativa). Birmingham: University of Birmingham, 1985.

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5

Ramsay, L. D. Application of biometrical genetics to swede breeding. Birmingham: University of Birmingham, 1991.

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6

Toledo, Jose Francisco Ferraz de. Biometrical studies of inbred lines and their hybrids. Birmingham: University of Birmingham, 1986.

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7

E, Hahn Martin, ed. Developmental behavior genetics: Neural, biometrical, and evolutionary approaches. New York: Oxford University Press, 1990.

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8

Hes, Ronald. At face value: On biometrical identification and privacy. 2nd ed. The Hague: Registratiekamer, 1999.

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9

Biometrical interpretation: Making sense of statistics in biology. 2nd ed. Oxford: Oxford University Press, 1989.

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10

Gilbert, Neil. Biometrical interpretation: Making sense of statistics in biology. 2nd ed. Oxford: Oxford University Press, 1989.

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Частини книг з теми "BIOMETRICAL"

1

Neale, Michael C., and Lon R. Cardon. "Biometrical Genetics." In Methodology for Genetic Studies of Twins and Families, 55–70. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-015-8018-2_3.

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2

Kearsey, M. J. "Biometrical genetics in breeding." In Plant Breeding, 163–83. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1524-7_12.

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3

Neale, Michael C. "Biometrical Models in Behavioral Genetics." In Handbook of Behavior Genetics, 15–33. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-76727-7_2.

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4

Balakirsky, Vladimir B., Anahit R. Ghazaryan, and A. J. Han Vinck. "Constructing Passwords from Biometrical Data." In Advances in Biometrics, 889–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01793-3_90.

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5

Jouffroy, F. K., M. Godinot, and Y. Nakano. "Biometrical characteristics of primate hands." In Hands of Primates, 133–71. Vienna: Springer Vienna, 1993. http://dx.doi.org/10.1007/978-3-7091-6914-8_9.

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6

Amelung, Nina, Rafaela Granja, and Helena Machado. "A Brief History of the Evolution of Biometrics and Biometric Database Systems Crossing Borders in EU Law Enforcement." In Modes of Bio-Bordering, 15–34. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8183-0_2.

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Abstract This chapter provides an outline of the historical evolution of biometric databases in the European Union and explores how these developments reconfigure notions of borders within this region of the world. This sets the scene for understanding how the melange of biometrical technologies and digitization has reconfigured how we think about the mobility of people, how modes of surveillance relate to human rights and ethical issues, and what modes of regulation are being enforced. This brief historical summary covers the evolution of a range of diverse biometric technologies and database systems and their use in the context of migration control and law enforcement. Furthermore, the chapter contextualizes why the Prüm system, a decentralized database system designed to facilitate the mandatory exchange of forensic DNA data amongst EU Member States to control criminality and terrorism, is of relevance to the concept of bioborders.

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7

Madhusudan, G., P. Srivyshnavi, B. Sarojamma, M. Naresh, R. Abbaiah, and P. Balasiddamuni. "Some Modified Biometrical Diversity and Evenness Indices." In Learning and Analytics in Intelligent Systems, 451–59. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46939-9_39.

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8

Laas-Mikko, Katrin, Tarmo Kalvet, Robert Derevski, and Marek Tiits. "Promises, Social, and Ethical Challenges with Biometrics in Remote Identity Onboarding." In Handbook of Digital Face Manipulation and Detection, 437–62. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-87664-7_20.

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Анотація:

AbstractIssuance of identity documents has commonly relied on face-to-face customer onboarding. Checking a person's physical presence and appearance has been an essential part of identity enrolling procedures to avoid the risk of identity forgery. Yet, several weaknesses, including face morphing attacks, have been identified in document issuing processes. In the context of the COVID-19 pandemic, increasing international mobility, and a greater focus on user convenience, established onboarding rules and procedures have been disrupted. Solutions are being sought which would eliminate the barriers that stem from physical distance while offering at least equal or even better onboarding processes than in-person identity verification. Recently, novel remote onboarding solutions have appeared on the market. They vary from human-assisted video identification procedures to biometric-based automated verification procedures. The main social and ethical issues with biometrics in remote identity onboarding are (1) the risk of harming integrity of personal identity and misuse of it; (2) the risk of privacy invasion and function creep; (3) ethical issues that are raising from algorithmically driven actions and decisions; and (4) public perception and social acceptance of technology. These non-technical requirements need to be addressed in developing identity verification technologies based on biometrical algorithms and security techniques.

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9

Kumlander, Deniss. "Soft Biometrical Students Identification Method for e-Learning." In Advances in Computer and Information Sciences and Engineering, 114–18. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8741-7_21.

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10

Putte, Ton, and Jeroen Keuning. "Biometrical Fingerprint Recognition: Don’t get your Fingers Burned." In Smart Card Research and Advanced Applications, 289–303. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-0-387-35528-3_17.

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Тези доповідей конференцій з теми "BIOMETRICAL"

1

Stoeva, Mariana, and Violeta Bozhikova. "A shape based approach for biometrical analyses." In the International Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1731740.1731835.

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2

"Reliable Biometrical Analysis in Biodiversity Information Systems." In 7th International Workshop on Pattern Recognition in Information Systems. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0002430300250036.

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3

Pretzsch, Hans. "Biometrical Models as Tools for Forest Ecosystem Management." In 2006 International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA). IEEE, 2006. http://dx.doi.org/10.1109/pma.2006.16.

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4

Mazandarani, Elnaz, Kaori Yoshida, Mario Köppen, and Ulrike Lucke. "Biometrical Verification Based on Infrared Heat Vein Patterns." In The 3rd IIAE International Conference on Intelligent Systems and Image Processing 2015. The Institute of Industrial Application Engineers, 2015. http://dx.doi.org/10.12792/icisip2015.043.

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5

Willems, F., T. Kalker, J. Goseling, and J. P. Linnartz. "On the capacity of a biometrical identification system." In IEEE International Symposium on Information Theory, 2003. Proceedings. IEEE, 2003. http://dx.doi.org/10.1109/isit.2003.1228096.

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6

KLIMAS, Evaldas, Jolanta LELIŪNIENĖ, and Ligita BALEŽENTIENĖ. "VERNALISATION IMPACT ON BIOMETRICAL PARAMETERS OF FESTULOLIUM VARIETIES." In RURAL DEVELOPMENT. Aleksandras Stulginskis University, 2018. http://dx.doi.org/10.15544/rd.2017.002.

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Many plants, including Festulolium, grown in temperate climates require vernalization and must experience a period of low winter temperature to initiate or accelerate the flowering process. The aim of research was to investigate impact of vernalisation thermoinduction on growth and development parameters of Festulolium varieties ‘Vėtra’ and ‘Punia DS’. Investigations were carried out in Lithuanian Research Centre for Agriculture and Forestry Institute of Horticulture, Plant Physiology Laboratory of phytotron complex in 2011–2012. Some peculiarities of growth and development of. Festulolium varieties ’Vėtra’ and ‘Punia DS’ were investigated. 5 plants were sown in each 5 litre pot in neutral peat substrate (pH 6–6.5). The plants were grown in greenhouse till the tillering phase at the temperature of 20±2 °C at daytime and 16±2 °C at night. Later plants were moved to low temperature chambers for 90, 110 and 130 days for passing of vernalisation processes, where the 8 and 16 hour photoperiod were maintained at 4 °C temperature. After vernalisation periods plants were removed to a greenhouse for additional 20 days. Biometric parameters, namely plant height, shoot number and dry mass were measured after each period in greenhouse and climatic chambers. The data revealed different response of Festulolium varieties ‘Vėtra’ and ‘Punia DS’ to vernalisation conditions. According to our data ‘Vėtra’ plant height was 6 % higher than the ‘Punia DS’ after 130+20 days of vernalisation. Nonetheless, vernalisation temperature conditions have no significant impact on shoot number. 110 and 130 long-day photoperiod significantly impacted on shoot number of Festulolium ʽVėtraʼ. Otherwise, 90 days vernalisation of both photoperiod induced significantly the highest length of ‘Punia DSʼ shoots. ‘Vėtraʼ accumulated significantly the maximum dry matter after 110 days vernalisation period, than that after 90 and 130 days.

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7

Rigas, Ioannis, George Economou, and Spiros Fotopoulos. "Human eye movements as a trait for biometrical identification." In 2012 IEEE Fifth International Conference On Biometrics: Theory, Applications And Systems (BTAS). IEEE, 2012. http://dx.doi.org/10.1109/btas.2012.6374580.

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8

Bartkowiak, Anna. "Outliers in Biometrical Data - Two Real Examples of Analysis." In 2009 International Conference on Biometrics and Kansei Engineering, ICBAKE. IEEE, 2009. http://dx.doi.org/10.1109/icbake.2009.47.

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9

Zak, Roman, Jaromir Svejda, Roman Senkerik, and Roman Jasek. "Analysis Of EEG Signal For Using In Biometrical Classification." In 28th Conference on Modelling and Simulation. ECMS, 2014. http://dx.doi.org/10.7148/2014-0377.

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10

Oliveira, Teresa A. "Preface of the “Symposium on statistical modelling and biometrical applications”." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2014 (ICNAAM-2014). AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4913041.

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Звіти організацій з теми "BIOMETRICAL"

1

Soller, Moshe (Morris), Hans Cheng, and Lyman Crittenden. Mapping the Chicken Genome, Including Loci Affecting Traits of Economic Importance. United States Department of Agriculture, September 1994. http://dx.doi.org/10.32747/1994.7568779.bard.

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A total of 195 microsatellites were added to the chicken genome map. Mapping of fifty known genes revealed a high degree of conserved linkage order between human and chicken genomes. A new, statistically powerful mapping design, the full-sib intercross line (produced by mating two parents, and intercrossing their progeny over a number of generations), was developed for use in species with high reproductive capacity. The Jerusalem Resource Population (JRP), now at the F12 generation, was established to implement this design i chickens. The biometrical picutre in the JRP is similar to that generally found in chicken populations; inbreeding effects were not observed. The F2 and F3 generations of the JRP were genotyped with respect to twelve production traits, using a battery of 23 microsatellites markers. The number of significant effects was twice that expected on chance alone, validating the high statistical power of the JRP with respect to QTL differentiating the parental lines. Selective DNA pooling, based on estimation of marker allele frequencies in pooled DNA samples, has been proposed to reduce high genotyping costs of QTL mapping. A method to correct for overlapping shadow bands of dinucleotide microsatellite markers in pooled DNA samples was developed and validated. In a retrospective study using this procedure, previously mapped loci affecting Marek's disease were successfully identified.

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2

Moore, Brad, and Michaela Iorga. Biometrics testing. Gaithersburg, Md.: National Institute of Standards and Technology, July 2009. http://dx.doi.org/10.6028/nist.hb.150-25.

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3

Tabassi, Elham, and Patrick Grother. Biometric quality :. Gaithersburg, MD: National Institute of Standards and Technology, 2008. http://dx.doi.org/10.6028/nist.ir.7544.

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4

Harriss, Lydia, and Khalil Davis. Biometric Technologies. Parliamentary Office of Science and Technology, June 2018. http://dx.doi.org/10.58248/pn578.

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Biometric technologies identify individuals based on their distinguishing physical and behavioural attributes, such as fingerprints, face, and voice. Unlike passwords or traditional identity documents, biometric attributes are inherently linked to a person and cannot usually be lost or forgotten, potentially providing greater security and convenience. This briefing focuses on how these technologies work, their applications, and the policy challenges raised by their use.

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5

BIOMETRICS TASK FORCE ARLINGTON VA. Biometrics Task Force. Fort Belvoir, VA: Defense Technical Information Center, January 2009. http://dx.doi.org/10.21236/ada517637.

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6

Johnston, R., and W. Grace. Bartus Iris biometrics. Office of Scientific and Technical Information (OSTI), July 1996. http://dx.doi.org/10.2172/262980.

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7

Ulery, Brad, Austin Hicklin, C. I. Watson, William Fellner, and Peter Hallinan. Studies of biometric fusion. Gaithersburg, MD: National Institute of Standards and Technology, 2006. http://dx.doi.org/10.6028/nist.ir.7346.

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8

Garris, Michael D., and Charles L. Wilson. NIST biometrics evaluations and developments. Gaithersburg, MD: National Institute of Standards and Technology, 2005. http://dx.doi.org/10.6028/nist.ir.7204.

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9

Choong, Yee-Yin, Mary Theofanos, Brian Stanton, and Patrick Hofmann. Symbols representing biometrics in use. Gaithersburg, MD: National Institute of Standards and Technology, 2009. http://dx.doi.org/10.6028/nist.ir.7645.

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10

Aldridge, Chris D. Mobile biometric device (MBD) technology :. Office of Scientific and Technical Information (OSTI), June 2013. http://dx.doi.org/10.2172/1089989.

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