Academic literature on the topic 'Multi-modal verification systems'
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Journal articles on the topic "Multi-modal verification systems"
Toledano, Doroteo T., Rubén Fernández Pozo, Álvaro Hernández Trapote, and Luis Hernández Gómez. "Usability evaluation of multi-modal biometric verification systems." Interacting with Computers 18, no. 5 (September 2006): 1101–22. http://dx.doi.org/10.1016/j.intcom.2006.01.004.
Full textBlasco, Jorge, and Pedro Peris-Lopez. "On the Feasibility of Low-Cost Wearable Sensors for Multi-Modal Biometric Verification." Sensors 18, no. 9 (August 24, 2018): 2782. http://dx.doi.org/10.3390/s18092782.
Full textMedjahed, Chahreddine, Abdellatif Rahmoun, Christophe Charrier, and Freha Mezzoudj. "A deep learning-based multimodal biometric system using score fusion." IAES International Journal of Artificial Intelligence (IJ-AI) 11, no. 1 (March 1, 2022): 65. http://dx.doi.org/10.11591/ijai.v11.i1.pp65-80.
Full textSoltane, Mohamed. "Figueiredo-Jain (FJ) Tune Algorithm for Gaussian Mixture Modal (GMM) Based Face and Signature Multi-Modal Biometric Verification Fusion Systems." Journal of Computational Intelligence and Electronic Systems 4, no. 1 (March 1, 2015): 27–36. http://dx.doi.org/10.1166/jcies.2015.1110.
Full textStanojević,, Milan, Ivan Milenković, Dušan Starčević, and Bogdana Stanojević. "Continuous Distribution Approximation and Thresholds Optimization in Serial Multi-Modal Biometric Systems." International Journal of Computers Communications & Control 11, no. 5 (September 1, 2016): 720. http://dx.doi.org/10.15837/ijccc.2016.5.2683.
Full textNorah Abdullah Al-johani and Lamiaa A. Elrefaei. "Palmprint And Dorsal Hand Vein Multi-Modal Biometric Fusion Using Deep Learning." International Journal of Artificial Intelligence and Machine Learning 10, no. 2 (July 2020): 18–42. http://dx.doi.org/10.4018/ijaiml.2020070102.
Full textBenegui, Cezara, and Radu Tudor Ionescu. "Improving the Authentication with Built-In Camera Protocol Using Built-In Motion Sensors: A Deep Learning Solution." Mathematics 9, no. 15 (July 28, 2021): 1786. http://dx.doi.org/10.3390/math9151786.
Full textMei, Liu, Huaguan Li, Yunlai Zhou, Dawang Li, Wujian Long, and Feng Xing. "Output-Only Damage Detection of Shear Building Structures Using an Autoregressive Model-Enhanced Optimal Subpattern Assignment Metric." Sensors 20, no. 7 (April 6, 2020): 2050. http://dx.doi.org/10.3390/s20072050.
Full text"Multi-Modal Authentication using Machine Learning Algorithm." International Journal of Engineering and Advanced Technology 8, no. 6S3 (November 22, 2019): 1151–55. http://dx.doi.org/10.35940/ijeat.f1192.0986s319.
Full textPeng, Pai, Keke Geng, Guodong Yin, Yanbo Lu, Weichao Zhuang, and Shuaipeng Liu. "Adaptive Multi-modal Fusion Instance Segmentation for CAEVs in Complex Conditions: Dataset, Framework and Verifications." Chinese Journal of Mechanical Engineering 34, no. 1 (August 30, 2021). http://dx.doi.org/10.1186/s10033-021-00602-2.
Full textDissertations / Theses on the topic "Multi-modal verification systems"
Hagemann, Andreas, and Hanna Björk. "A System for Driver Identity Verification." Thesis, Linköping University, Department of Electrical Engineering, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-4278.
Full textDifferent security issues are a top subject around the world, especially since the terror threats seem to intensify. In the same time, the transport industry suffer from problems with smuggling and theft of valuable goods. One way to increase the security might be to have a verification system installed in commercial trucks, in order to assure that the driver is the proper one.
This thesis has two purposes. One is to find appropriate methods for driver verification and build a prototype of a verification system which can be used for testing and further development. The other is to study how truck drivers perceive such a system and how their conception goes along with the growing demand for higher security. The present work is the result of a cooperation between an engineer and a cognitive scientist. The thesis focuses on the transport industry and was performed for Volvo Technology Corporation (VTEC), Gothenburg, Sweden.
Eleven available verification methods were studied. To enable a well-based selection of methods to implement in the prototype, inquiries and interviews with truck drivers and haulage contractors were carried out to complement the theoretical study.
One regular and three biometric verification methods were chosen for the test; fingerprint verification, face recognition, voice recognition and PIN verification. These methods were put together to a prototype system that was implemented in a truck simulator. A graphical user interface was developed in order to make the system user friendly. The prototype system was tested by 18 truck drivers. They were thoroughly interviewed before and after the test in order to retrieve their background, expectations and opinions as well as their perceptions and experiences of the test.
Most of the test participants were positive to the prototype system. Even though they did not feel a need for it today they believed it to “be the future”. However, some participants felt uncomfortable with the system since they felt controlled by it. It became clear how important it is to have a system that respect the users’ privacy and to assure that the users are well informed about how the system is used. Some of the technology used for the verification system requires more development to fit in the automotive context, but it is considered to be possible to achieve a secure and robust system.
Wark, Timothy J. "Multi-modal speech processing for automatic speaker recognition." Thesis, Queensland University of Technology, 2001.
Find full textSanderson, Conrad, and conradsand@ieee org. "Automatic Person Verification Using Speech and Face Information." Griffith University. School of Microelectronic Engineering, 2003. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20030422.105519.
Full textSanderson, Conrad. "Automatic Person Verification Using Speech and Face Information." Thesis, Griffith University, 2003. http://hdl.handle.net/10072/367191.
Full textThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Microelectronic Engineering
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Book chapters on the topic "Multi-modal verification systems"
Heider, Thomas, and Thomas Kirste. "Architecture Considerations for Interoperable Multi-modal Assistant Systems." In Interactive Systems:Design, Specification, and Verification, 253–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36235-5_19.
Full textPolgreen, Elizabeth, Kevin Cheang, Pranav Gaddamadugu, Adwait Godbole, Kevin Laeufer, Shaokai Lin, Yatin A. Manerkar, Federico Mora, and Sanjit A. Seshia. "UCLID5: Multi-modal Formal Modeling, Verification, and Synthesis." In Computer Aided Verification, 538–51. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13185-1_27.
Full textWu, Huilin, and Xiaocui Zhang. "Software Trustworthy Modeling and Verification Algorithm for CPS Time Attributes." In Application of Intelligent Systems in Multi-modal Information Analytics, 448–54. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74814-2_63.
Full textXie, Jiahui, Sihao Zhao, Xiaolan Nie, Chu Lin, and Jun Ye. "Query and Verification of Encrypted Data Based on Blockchain in Multi-user Scenario." In Application of Intelligent Systems in Multi-modal Information Analytics, 702–7. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74811-1_101.
Full textCuzzocrea, Alfredo, Majid Abbasi Sisara, and Carmine Gallo. "Experimental Analysis and Verification of a Multi-modal-Biometrics Identity Verification Framework Based on the Dempster-Shafer Theory." In Complex, Intelligent and Software Intensive Systems, 118–29. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08812-4_12.
Full textVerlinde, P., and M. Acheroy. "On the Use of Statistical Considerations in Multi-Modal Identity Verification System Design." In Multisensor Fusion, 807–14. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-010-0556-2_40.
Full textHao, Bin, and Xiali Hei. "Voice Liveness Detection for Medical Devices." In Advances in Medical Technologies and Clinical Practice, 109–36. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7525-2.ch005.
Full textTsatsoulis, P. Daphne, Aaron Jaech, Robert Batie, and Marios Savvides. "Multimodal Biometric Hand-Off for Robust Unobtrusive Continuous Biometric Authentication." In IT Policy and Ethics, 389–409. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2919-6.ch018.
Full textConference papers on the topic "Multi-modal verification systems"
Changhan Park, Joonki Paik, Taewoong Choi, Soonhyob Kim, Youngouk Kim, and J. Namkung. "Multi-Modal Human Verification Using Face and Speech." In Fourth IEEE International Conference on Computer Vision Systems (ICVS'06). IEEE, 2006. http://dx.doi.org/10.1109/icvs.2006.45.
Full textBiggio, Battista, Zahid Akthar, Giorgio Fumera, Gian Luca Marcialis, and Fabio Roli. "Robustness of multi-modal biometric verification systems under realistic spoofing attacks." In 2011 IEEE International Joint Conference on Biometrics (IJCB). IEEE, 2011. http://dx.doi.org/10.1109/ijcb.2011.6117474.
Full textVidal-Calleja, Teresa, Jaime Valls Miro, Fernando Martin, Daniel C. Lingnau, and David E. Russell. "Automatic detection and verification of pipeline construction features with multi-modal data." In 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014). IEEE, 2014. http://dx.doi.org/10.1109/iros.2014.6942993.
Full textOussaid, Linda Mohand, Yamine Ait Ameur, and Mohamed Ahmed Nacer. "A generic formal model for fission of modalities in output multi–modal interactive systems." In Third International Workshop on Verification and Evaluation of Computer and Communication Systems (VECoS 2009). BCS Learning & Development, 2009. http://dx.doi.org/10.14236/ewic/vecos2009.12.
Full textCuzzocrea, Alfredo, and Enzo Mumolo. "Dempster-Shafer-Based Fusion of Multi-Modal Biometrics for Supporting Identity Verification Effectively and Efficiently." In 2021 IEEE 2nd International Conference on Human-Machine Systems (ICHMS). IEEE, 2021. http://dx.doi.org/10.1109/ichms53169.2021.9582651.
Full textZhang, Fengling, Lin Li, Yu Fan, and Jiuzhou Liu. "Numerical Analysis and Experimental Verification of Synchronized Switching Damping Systems." In ASME 2019 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/smasis2019-5570.
Full textZhang, Chaofan, Daogang Lu, Yu Liu, and Haotian Qiu. "Modal analysis and additional fluid mass of coaxial three-layer thin-wall member in annular flow gap." In 2022 29th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/icone29-92274.
Full textLi, Hong-Nan, Ying Jia, and Su-Yan Wang. "Experimental Verifications on Seismic Response Control of Tall Structures by Multiple Tuned Liquid Dampers." In ASME/JSME 2004 Pressure Vessels and Piping Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/pvp2004-2902.
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