Cancelable Palmprint Feature Generation Method Based on Minimum Signature

With the emphasis on biometric privacy protection, this paper proposes a method for generating cancelable palmprint features based on minimum signature. Firstly, orthogonal features of ROI of palmprint are extracted. In order to realize a layer of security and cancelability of palmprint features, a chaotic matrix is randomly generated as the key, and then xor orthogonal features form the initial feature matrix. Then the signature matrix is generated by generating hash function randomly. The initial value of signature matrix is infinite. The initial feature matrix is scanned and calculated by using the generated hash function, and the larger value in the original signature matrix is replaced by the minimum value to form a final signature matrix as a cancelable palmprint feature stored in the database. Experiments and theoretical analysis prove that the scheme can maintain high recognition performance and effectively protect the privacy of palmprint.

[1]  Hengjian Li,et al.  Robust palmprint identification based on directional representations and compressed sensing , 2012, Multimedia Tools and Applications.

[2]  Hengjian Li,et al.  Generating cancelable palmprint templates via coupled nonlinear dynamic filters and multiple orientation palmcodes , 2010, Inf. Sci..

[3]  Aditya Prasad,et al.  A privacy-preserving cancelable iris template generation scheme using decimal encoding and look-up table mapping , 2017, Comput. Secur..

[4]  Sanjay Kumar Singh,et al.  Providing robust security measures to Bloom filter based biometric template protection schemes , 2017, Comput. Secur..

[5]  Zhe Jin,et al.  Ranking-Based Locality Sensitive Hashing-Enabled Cancelable Biometrics: Index-of-Max Hashing , 2017, IEEE Transactions on Information Forensics and Security.

[6]  Zhe Jin,et al.  An alignment-free cancelable fingerprint template for bio-cryptosystems , 2018, J. Netw. Comput. Appl..

[7]  Christoph Busch,et al.  Alignment-free cancelable iris biometric templates based on adaptive bloom filters , 2013, 2013 International Conference on Biometrics (ICB).

[8]  DAVID ZHANG,et al.  A Comparative Study of Palmprint Recognition Algorithms , 2012, CSUR.

[9]  Martin Wattenberg,et al.  A fuzzy commitment scheme , 1999, CCS '99.

[10]  Andreas Uhl,et al.  A survey on biometric cryptosystems and cancelable biometrics , 2011, EURASIP J. Inf. Secur..

[11]  Jiankun Hu,et al.  Design of Alignment-Free Cancelable Fingerprint Templates with Zoned Minutia Pairs , 2017, Pattern Recognit..

[12]  Jiankun Hu,et al.  A blind system identification approach to cancelable fingerprint templates , 2016, Pattern Recognit..

[13]  Nalini K. Ratha,et al.  Enhancing security and privacy in biometrics-based authentication systems , 2001, IBM Syst. J..

[14]  Julien Bringer,et al.  Security analysis and improvement of some biometric protected templates based on Bloom filters , 2017, Image Vis. Comput..

[15]  David Zhang,et al.  Half-orientation extraction of palmprint features , 2016, Pattern Recognit. Lett..

[16]  Bhabatosh Chanda,et al.  A novel cancelable iris recognition system based on feature learning techniques , 2017, Inf. Sci..

[17]  Andrew Beng Jin Teoh,et al.  Alignment-free row-co-occurrence cancelable palmprint Fuzzy Vault , 2015, Pattern Recognit..

[18]  Tieniu Tan,et al.  Gabor Ordinal Measures for Face Recognition , 2014, IEEE Transactions on Information Forensics and Security.

[19]  David Zhang,et al.  Online Palmprint Identification , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[20]  Su Fei,et al.  Cracking Cancelable Fingerprint Template of Ratha , 2008, ISCSCT.