Fingerprint Core Location Algorithm Based on Sliding Window
MIN Xiangshen, ZHANG Xuefeng, REN FangSchool of Telecommunication and Information Engineering, Xi’an University of Posts and Telecommunications, Xi’an 710121, Shaanxi, China
In order to improve the efficiency of the fingerprint core location algorithm, a fingerprint core location method using sliding window on the basis of core location algorithm with the complex filter was proposed. The local region of the fingerprint image was extracted by a fixed-size window sliding in the region of the fingerprint image, and the selected local region by window as the calculation object is used to detect the core. The experiment results show that the method cannot only effectively detect fingerprint core, but also improve the efficiency of the detection algorithm comparing with the global fingerprint core location detection algorithm.
 Chen Y. Realization of automatic fingerprint identification system [J]. Journal of Zhejiang University of Science and Technology, 2012, 24(4): 303-306 (Ch).
 Murillo-Escobar M A, Cruz-Hernández C, Abundiz-Pérez F. A robust embedded biometric authentication system based on fingerprint and chaotic encryption [J]. Expert Systems with Applications, 2015, 42: 8198-8211.
 Bringer J, Morel C, Rathgeb C. Security analysis and im-provement of some biometric protected templates based on bloom filters [J]. Image and Vision Computing, 2017, 58: 239-253.
 Gomez-Barrero M, Maiorana E, Galbally J. Multi-biometric template protection based on homomorphic encryption [J]. Pattern Recognition, 2017, 67: 149-163.
 Khan H S, AliAkbar M, Shahzad F. Secure biometric tem-plate generation for multi-factor authentication [J]. Pattern Recognition, 2015, 48: 458-472.
 Chin Y J, Ong T S, Teoh A B J. Integrated biometrics template protection technique based on fingerprint and palmprint feature-level fusion [J]. Information Fusion, 2014, 18: 161- 174.
 Chen D H, Han S F, Jiang T. Fingerprint classification method based on binary image and core [J]. Application Research of Computers, 2008, 25(7): 2190-2192.
 Ye X J. Research on fingerprint matching algorithm based on location of the core [J]. Modern Electronics Technique, 2006, 11: 98-100.
 Zhong Y C, Zhu S K, Lin Y, et al. Fingerprint matching algorithm based on core point and minutiae [J]. Microelec-tronics & Computer, 2011, 28(1): 34-37.
 Sengupta A, Mukhopadhyay S. A robust algorithm for fin-gerprint core-point detection [J]. IEEE Student Technology Symposium, 2011, 16: 154-157.
 Li X L, Zhou M J, Zhang C X. Algorithm of core point based on the fingerprint directional image [J]. Information Tech-nology, 2014, 10: 95-97.
 Weng D W, Yi Y L, Yang G P. Singular point extraction from fingerprint based on Gaussian-Hermite moment and im-proved Poincare index [J]. Journal of Computer Research and Development, 2008, 45(11): 1974-1977(Ch).
 Tan T Z, Ning B B, Yi Y L. A method for singularity detec-tion in fingerprint images [J]. Journal of Software, 2003, 14(6): 1082-1087(Ch).
 Wang Y S, Liu W, Wang Z R. Core point detection of fingerpoint based on tracing ridges [J]. Computer Systems & Applications, 2011, 20(6): 140-143(Ch).
 Liang L W, Zhao H D, He P, et al. Algorithm of extracting core point in fingerprint [J]. Journal of Hebei University of Technology, 2007, 36(1): 45-47(Ch).
 Yang K, Zeng L B, Wang D C. A fast arithmetic for the erosion and dilation operations of mathematical morphology [J]. Computer Engineering and Applications, 2005, (34): 54-56(Ch).