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BioMed Research International
Volume 2013, Article ID 197925, 11 pages
http://dx.doi.org/10.1155/2013/197925
Research Article

New Optical Methods for Liveness Detection on Fingers

1Faculty of Information Technology, Brno University of Technology, Bozetechova 2, 61266 Brno, Czech Republic
2Department of Dermatology and Venereology, Faculty of Medicine, St. Anne’s University Hospital, Masaryk University, Kamenice 753/5, 625 00 Brno, Czech Republic
3Department of Computer Engineering, Dongguk University at Gyeongju Gyeongbuk, Sekjang-Dong, Gyeong Ju, Gyeongsangbuk-do 780-714, Republic of Korea
4Department of Statistics and Information Science, Dongguk University at Gyeongju Gyeongbuk, Sekjang-Dong, Gyeong Ju, Gyeongsangbuk-do 780-714, Republic of Korea

Received 4 July 2013; Revised 14 August 2013; Accepted 14 August 2013

Academic Editor: Tai-hoon Kim

Copyright © 2013 Martin Drahansky et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [8 citations]

The following is the list of published articles that have cited the current article.

  • Nazariy K. Shaydyuk, and Timothy Cleland, “Biometric identification via retina scanning with liveness detection using speckle contrast imaging,” 2016 IEEE International Carnahan Conference on Security Technology (ICCST), pp. 1–5, . View at Publisher · View at Google Scholar
  • Surender Sharma, and Venki Balasubramanian, “A biometric based authentication and encryption Framework for Sensor Health Data in Cloud,” Proceedings of the 6th International Conference on Information Technology and Multimedia, pp. 49–54, . View at Publisher · View at Google Scholar
  • Martin Drahansky, Michal Dolezel, Jan Vana, Eva Brezinova, Jaegeol Yim, and Kyubark Shim, “New Optical Methods for Liveness Detection on Fingers (vol 2013, 197925, 2013),” Biomed Research International, 2014. View at Publisher · View at Google Scholar
  • Yongcheng Jing, and Guiliang Liu, “Analysis of out-of-focus blur influence on fingerprint liveness detection system,” International Conference on Wavelet Analysis and Pattern Recognition, vol. 2015-, pp. 158–164, 2015. View at Publisher · View at Google Scholar
  • Arunalatha, and Ezhilarasan, “Detecting liveness of fingerprint biometrics,” International Journal of Internet Protocol Technology, vol. 9, no. 4, pp. 196–206, 2016. View at Publisher · View at Google Scholar
  • Pascal Keilbach, Jascha Kolberg, Marta Gomez-Barrero, Christoph Busch, and Hanno Langweg, “Fingerprint Presentation Attack Detection using Laser Speckle Contrast Imaging,” 2018 International Conference of the Biometrics Special Interest Group, BIOSIG 2018, 2018. View at Publisher · View at Google Scholar
  • Irena Jekova, Vessela Krasteva, and Ramun Schmid, “Human Identification by Cross-Correlation and Pattern Matching of Personalized Heartbeat: Influence of ECG Leads and Reference Database Size,” Sensors, vol. 18, no. 2, pp. 372, 2018. View at Publisher · View at Google Scholar
  • Guk-Jin Jeon, Seung-Hwan Lee, Seung Hee Lee, Jun-Bo Shim, Jong-Hyun Ra, Kyoung Woo Park, Hye-In Yeom, Yunyong Nam, Oh-Kyong Kwon, and Sang-Hee Ko Park, “Highly Sensitive Active-Matrix Driven Self-Capacitive Fingerprint Sensor based on Oxide Thin Film Transistor,” Scientific Reports, vol. 9, no. 1, 2019. View at Publisher · View at Google Scholar