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Artykuły w czasopismach na temat "Fingerprint Verification"
Bercelin, Rose Mary W., N. Subbulakshmi i Tofflin R. Bini. "Fingerprint Combination of Privacy Preservation is Improved by Delaunay Triangulation Method". Applied Mechanics and Materials 573 (czerwiec 2014): 437–41. http://dx.doi.org/10.4028/www.scientific.net/amm.573.437.
Pełny tekst źródłaQIN, WEI, i YILONG YIN. "A NOVEL METHOD USING VIDEOS FOR FINGERPRINT VERIFICATION". International Journal of Pattern Recognition and Artificial Intelligence 26, nr 01 (luty 2012): 1256002. http://dx.doi.org/10.1142/s0218001412560022.
Pełny tekst źródłaUpendra, K., S. Singh, V. Kumar i H. K. Verma. "Online fingerprint verification". Journal of Medical Engineering & Technology 31, nr 1 (styczeń 2007): 36–45. http://dx.doi.org/10.1080/03091900500324194.
Pełny tekst źródłaDjara, Tahirou, Marc Kokou Assogba i Antoine Vianou. "A Contactless Fingerprint Verification Method using a Minutiae Matching Technique". International Journal of Computer Vision and Image Processing 6, nr 1 (styczeń 2016): 12–27. http://dx.doi.org/10.4018/ijcvip.2016010102.
Pełny tekst źródłaKhan, Sajid, Dong-Ho Lee, Asif Khan, Ahmad Waqas, Abdul Rehman Gilal i Zahid Hussain Khand. "A Digital Camera-Based Rotation-Invariant Fingerprint Verification Method". Scientific Programming 2020 (15.05.2020): 1–10. http://dx.doi.org/10.1155/2020/9758049.
Pełny tekst źródłaCappelli, Raffaele, Matteo Ferrara, Annalisa Franco i Davide Maltoni. "Fingerprint verification competition 2006". Biometric Technology Today 15, nr 7-8 (lipiec 2007): 7–9. http://dx.doi.org/10.1016/s0969-4765(07)70140-6.
Pełny tekst źródłaMesec, Chip. "Fingerprint identification versus verification". Biometric Technology Today 15, nr 9 (wrzesień 2007): 7. http://dx.doi.org/10.1016/s0969-4765(07)70157-1.
Pełny tekst źródłaQin, Wei, Yilong Yin i Lili Liu. "Video-Based Fingerprint Verification". Sensors 13, nr 9 (4.09.2013): 11660–86. http://dx.doi.org/10.3390/s130911660.
Pełny tekst źródłaMaio, D., D. Maltoni, R. Cappelli, J. L. Wayman i A. K. Jain. "FVC2000: fingerprint verification competition". IEEE Transactions on Pattern Analysis and Machine Intelligence 24, nr 3 (marzec 2002): 402–12. http://dx.doi.org/10.1109/34.990140.
Pełny tekst źródłaJain, A., Lin Hong i R. Bolle. "On-line fingerprint verification". IEEE Transactions on Pattern Analysis and Machine Intelligence 19, nr 4 (kwiecień 1997): 302–14. http://dx.doi.org/10.1109/34.587996.
Pełny tekst źródłaRozprawy doktorskie na temat "Fingerprint Verification"
Yager, Neil Gordon Computer Science & Engineering Faculty of Engineering UNSW. "Hierarchical fingerprint verification". Awarded by:University of New South Wales. Computer Science and Engineering, 2006. http://handle.unsw.edu.au/1959.4/27008.
Pełny tekst źródłaDeng, Huimin. "Robust minutia-based fingerprint verification". Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B37036427.
Pełny tekst źródłaDeng, Huimin, i 鄧惠民. "Robust minutia-based fingerprint verification". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B37036427.
Pełny tekst źródłaYan, Weiwei. "Software-hardware Cooperative Embedded Verification System Fusing Fingerprint Verification and Shared-key Authentication". Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-66677.
Pełny tekst źródłaSandström, Marie. "Liveness Detection in Fingerprint Recognition Systems". Thesis, Linköping University, Department of Electrical Engineering, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2397.
Pełny tekst źródłaBiometrics deals with identifying individuals with help of their biological data. Fingerprint scanning is the most common method of the biometric methods available today. The security of fingerprint scanners has however been questioned and previous studies have shown that fingerprint scanners can be fooled with artificial fingerprints, i.e. copies of real fingerprints. The fingerprint recognition systems are evolving and this study will discuss the situation of today.
Two approaches have been used to find out how good fingerprint recognition systems are in distinguishing between live fingers and artificial clones. The first approach is a literature study, while the second consists of experiments.
A literature study of liveness detection in fingerprint recognition systems has been performed. A description of different liveness detection methods is presented and discussed. Methods requiring extra hardware use temperature, pulse, blood pressure, electric resistance, etc., and methods using already existent information in the system use skin deformation, pores, perspiration, etc.
The experiments focus on making artificial fingerprints in gelatin from a latent fingerprint. Nine different systems were tested at the CeBIT trade fair in Germany and all were deceived. Three other different systems were put up against more extensive tests with three different subjects. All systems werecircumvented with all subjects'artificial fingerprints, but with varying results. The results are analyzed and discussed, partly with help of the A/R value defined in this report.
Fransson, Linda, i Therese Jeansson. "Biometric methods and mobile access control". Thesis, Blekinge Tekniska Högskola, Avdelningen för programvarusystem, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5023.
Pełny tekst źródłaSun, Wei [Verfasser], Thomas [Akademischer Betreuer] Sikora, Thomas [Gutachter] Sikora, Atta [Gutachter] Badii i Ivo [Gutachter] Keller. "Low complexity embedded fingerprint verification and identification system / Wei Sun ; Gutachter: Thomas Sikora, Atta Badii, Ivo Keller ; Betreuer: Thomas Sikora". Berlin : Technische Universität Berlin, 2016. http://d-nb.info/1156181704/34.
Pełny tekst źródłaDimitrov, Emanuil. "Fingerprints recognition". Thesis, Växjö University, School of Mathematics and Systems Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-5522.
Pełny tekst źródłaNowadays biometric identification is used in a variety of applications-administration, business and even home. Although there are a lot of biometric identifiers, fingerprints are the most widely spread due to their acceptance from the people and the cheap price of the hardware equipment. Fingerprint recognition is a complex image recognition problem and includes algorithms and procedures for image enhancement and binarization, extracting and matching features and sometimes classification. In this work the main approaches in the research area are discussed, demonstrated and tested in a sample application. The demonstration software application is developed by using Verifinger SDK and Microsoft Visual Studio platform. The fingerprint sensor for testing the application is AuthenTec AES2501.
Falade, Joannes Chiderlos. "Identification rapide d'empreintes digitales, robuste à la dissimulation d'identité". Thesis, Normandie, 2020. http://www.theses.fr/2020NORMC231.
Pełny tekst źródłaBiometrics are increasingly used for identification purposes due to the close relationship between the person and their identifier (such as fingerprint). We focus this thesis on the issue of identifying individuals from their fingerprints. The fingerprint is a biometric data widely used for its efficiency, simplicity and low cost of acquisition. The fingerprint comparison algorithms are mature and it is possible to obtain in less than 500 ms a similarity score between a reference template (enrolled on an electronic passport or database) and an acquired template. However, it becomes very important to check the identity of an individual against an entire population in a very short time (a few seconds). This is an important issue due to the size of the biometric database (containing a set of individuals of the order of a country). Thus, the first part of the subject of this thesis concerns the identification of individuals using fingerprints. Our topic focuses on the identification with N being at the scale of a million and representing the population of a country for example. Then, we use classification and indexing methods to structure the biometric database and speed up the identification process. We have implemented four identification methods selected from the state of the art. A comparative study and improvements were proposed on these methods. We also proposed a new fingerprint indexing solution to perform the identification task which improves existing results. A second aspect of this thesis concerns security. A person may want to conceal their identity and therefore do everything possible to defeat the identification. With this in mind, an individual may provide a poor quality fingerprint (fingerprint portion, low contrast by lightly pressing the sensor...) or provide an altered fingerprint (impression intentionally damaged, removal of the impression with acid, scarification...). It is therefore in the second part of this thesis to detect dead fingers and spoof fingers (silicone, 3D fingerprint, latent fingerprint) used by malicious people to attack the system. In general, these methods use machine learning techniques and deep learning. Secondly, we proposed a new presentation attack detection solution based on the use of statistical descriptors on the fingerprint. Thirdly, we have also build three presentation attacks detection workflow for fake fingerprint using deep learning. Among these three deep solutions implemented, two come from the state of the art; then the third an improvement that we propose. Our solutions are tested on the LivDet competition databases for presentation attack detection
Bartoň, Jaroslav. "Podpora pro autentizaci pomocí otisků prstu". Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-235492.
Pełny tekst źródłaKsiążki na temat "Fingerprint Verification"
1942-, Wilson C. L., i National Institute of Standards and Technology (U.S.), red. Studies of fingerprint matching using the NIST verification test bed (VTB). [Gaithersburg, Md.]: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2003.
Znajdź pełny tekst źródłaCzęści książek na temat "Fingerprint Verification"
Venkataramani, Krithika, i B. V. K. Vijaya Kumar. "Fingerprint Verification Using Correlation Filters". W Lecture Notes in Computer Science, 886–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44887-x_103.
Pełny tekst źródłaMaio, Dario, Davide Maltoni, Raffaele Cappelli, Jim L. Wayman i Anil K. Jain. "FVC2004: Third Fingerprint Verification Competition". W Biometric Authentication, 1–7. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-25948-0_1.
Pełny tekst źródłaJain, Anil K., Sharath Pankanti, Salil Prabhakar i Arun Ross. "Recent Advances in Fingerprint Verification". W Lecture Notes in Computer Science, 182–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45344-x_26.
Pełny tekst źródłaUdup U., Raghavendra, Gaurav Garg i Pramod Sharma. "Fast and Accurate Fingerprint Verification". W Lecture Notes in Computer Science, 192–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45344-x_27.
Pełny tekst źródłaPrabhakar, Salil, i Anil K. Jain. "Decision-Level Fusion in Fingerprint Verification". W Multiple Classifier Systems, 88–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-48219-9_9.
Pełny tekst źródłaCeguerra, Anna, i Irena Koprinska. "Automatic Fingerprint Verification Using Neural Networks". W Artificial Neural Networks — ICANN 2002, 1281–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-46084-5_207.
Pełny tekst źródłaKerschbaum, Florian, Mikhail J. Atallah, David M’Raïhi i John R. Rice. "Private Fingerprint Verification without Local Storage". W Biometric Authentication, 387–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-25948-0_54.
Pełny tekst źródłaGil, Younhee, Daesung Moon, Sungbum Pan i Yongwha Chung. "Fingerprint Verification System Involving Smart Card". W Lecture Notes in Computer Science, 510–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36552-4_35.
Pełny tekst źródłaGao, Q., i G. S. Moschytz. "A CNN-based Fingerprint Verification System". W Springer Proceedings in Physics, 243–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-30636-6_27.
Pełny tekst źródłaAltman, Micah. "A Fingerprint Method for Scientific Data Verification". W Advances in Computer and Information Sciences and Engineering, 311–16. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8741-7_57.
Pełny tekst źródłaStreszczenia konferencji na temat "Fingerprint Verification"
Wenzl, Matthias, i Daniel Kluka. "Adding Channel Security to a Fingerprint Verification Chain". W ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67356.
Pełny tekst źródłaKhalil, Mohammed S., Dzulkifli Muhammad, Muhammad Khurram Khan i Qais AL-Nuzaili. "Fingerprint verification using fingerprint texture". W 2009 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT). IEEE, 2009. http://dx.doi.org/10.1109/isspit.2009.5407549.
Pełny tekst źródłaJain, A., i Lin Hong. "On-line fingerprint verification". W Proceedings of 13th International Conference on Pattern Recognition. IEEE, 1996. http://dx.doi.org/10.1109/icpr.1996.547016.
Pełny tekst źródłaQin, Wei, Yilong Yin, Chunxiao Ren i Lili Liu. "Video-based fingerprint verification". W 2010 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/icassp.2010.5495472.
Pełny tekst źródłaBaradarani, A., J. R. B. Taylor, F. Severin i R. Gr Maev. "Advanced fingerprint verification software". W SPIE Defense + Security, redaktor Edward M. Carapezza. SPIE, 2016. http://dx.doi.org/10.1117/12.2224244.
Pełny tekst źródłaKhalil, Mohammed S., Dzulkifli Muhammad i Qais AL-Nuzaili. "Fingerprint Verification Using the Texture of Fingerprint Image". W 2009 Second International Conference on Machine Vision. IEEE, 2009. http://dx.doi.org/10.1109/icmv.2009.18.
Pełny tekst źródłaMarupudi, Naveena, Eugene John i Fred Hudson. "Fingerprint verification in multimodal biometrics". W 2006 IEEE Region 5 Conference. IEEE, 2006. http://dx.doi.org/10.1109/tpsd.2006.5507443.
Pełny tekst źródłaCappelli, Raffaele, Matteo Ferrara, Davide Maltoni i Francesco Turroni. "Fingerprint verification competition at IJCB2011". W 2011 IEEE International Joint Conference on Biometrics (IJCB). IEEE, 2011. http://dx.doi.org/10.1109/ijcb.2011.6117488.
Pełny tekst źródłaSanjekar, Priti S., i Priyadarshan S. Dhabe. "Fingerprint verification using haar wavelet". W 2010 2nd International Conference on Computer Engineering and Technology. IEEE, 2010. http://dx.doi.org/10.1109/iccet.2010.5485896.
Pełny tekst źródłaLeon, J., G. Sanchez, G. Aguilar, L. Toscano, H. Perez i J. M. Ramirez. "Fingerprint verification applying invariant moments". W 2009 52nd IEEE International Midwest Symposium on Circuits and Systems (MWSCAS). IEEE, 2009. http://dx.doi.org/10.1109/mwscas.2009.5235878.
Pełny tekst źródłaRaporty organizacyjne na temat "Fingerprint Verification"
Wilson, Charles L., Craig I. Watson, Michael D. Garris i Austin Hicklin. Studies of fingerprint matching using the NIST verification test bed (VTB). Gaithersburg, MD: National Institute of Standards and Technology, 2003. http://dx.doi.org/10.6028/nist.ir.7020.
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