Statistical anti-spoofing method for fingerprint recognition
作者： Yosep Park , Unsoo Jang , Eui Chul Lee
DOI: 10.1007/S00500-017-2707-3
关键词: Fingerprint recognition 、 Pattern recognition 、 Skewness 、 Biometrics 、 Fingerprint (computing) 、 Artificial intelligence 、 Mathematics 、 Support vector machine 、 Kurtosis 、 Spoofing attack 、 Feature (machine learning)
摘要: Recently, attempts at spoofing biometric fingerprint recognition systems through fake fingerprints have been frequently reported. Most existing detection methods require either additional sensors or complicated calculations. In this paper, a method is proposed that employs combinations of six simple statistical moment features. These features are deviation, variance, skewness, kurtosis, hyperskewness, and hyperflatness the fingerprints. addition, average brightness, standard differential considered. Of all features, best ones selected in terms overlap ratio between real images. The multi-dimensional combined feature level support vector machine. Based on experimental results, showed classification accuracy approximately 99%.
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sci-hub.se 参考文章(14)
Weimin Li, Xunfeng Li, Mengke Yao, Jiulei Jiang, Qun Jin, Personalized fitting recommendation based on support vector regression Human-centric Computing and Information Sciences. ,vol. 5, pp. 21- ,(2015) , 10.1186/S13673-015-0041-2
Ramon Blanco-Gonzalo, Norman Poh, Rita Wong, Raul Sanchez-Reillo, Time evolution of face recognition in accessible scenarios Human-centric Computing and Information Sciences. ,vol. 5, pp. 24- ,(2015) , 10.1186/S13673-015-0043-0
Yusuf Albayram, Mohammad Maifi Hasan Khan, Athanasios Bamis, Sotirios Kentros, Nhan Nguyen, Ruhua Jiang, Designing challenge questions for location‐based authentication systems: a real‐life study Human-centric Computing and Information Sciences. ,vol. 5, pp. 17- ,(2015) , 10.1186/S13673-015-0032-3
Javier Galbally, Fernando Alonso-Fernandez, Julian Fierrez, Javier Ortega-Garcia, A high performance fingerprint liveness detection method based on quality related features Future Generation Computer Systems. ,vol. 28, pp. 311- 321 ,(2012) , 10.1016/J.FUTURE.2010.11.024
Shankar Bhausaheb Nikam, Suneeta Agarwal, Ridgelet-based fake fingerprint detection Neurocomputing. ,vol. 72, pp. 2491- 2506 ,(2009) , 10.1016/J.NEUCOM.2008.11.003
Luca Ghiani, Abdenour Hadid, Gian Luca Marcialis, Fabio Roli, Fingerprint Liveness Detection using Binarized Statistical Image Features international conference on biometrics theory applications and systems. pp. 1- 6 ,(2013) , 10.1109/BTAS.2013.6712708
Huan-Ming Chuang, You-Shyang Chen, Identifying the value co-creation behavior of virtual customer environments using a hybrid expert-based DANP model in the bicycle industry Human-centric Computing and Information Sciences. ,vol. 5, pp. 11- ,(2015) , 10.1186/S13673-015-0028-Z
Kadayanallur Mahadevan Prabusankarlal, Palanisamy Thirumoorthy, Radhakrishnan Manavalan, None, Assessment of combined textural and morphological features for diagnosis of breast masses in ultrasound Human-centric Computing and Information Sciences. ,vol. 5, pp. 12- ,(2015) , 10.1186/S13673-015-0029-Y
Bernhard E. Boser, Isabelle M. Guyon, Vladimir N. Vapnik, A training algorithm for optimal margin classifiers conference on learning theory. pp. 144- 152 ,(1992) , 10.1145/130385.130401
P Venkata Reddy, Ajay Kumar, SMK Rahman, Tanvir Singh Mundra, None, A New Antispoofing Approach for Biometric Devices IEEE Transactions on Biomedical Circuits and Systems. ,vol. 2, pp. 328- 337 ,(2008) , 10.1109/TBCAS.2008.2003432