JING Xiaojun, ZHANG Jie, JIANG Haixia, ZHONG Mingliang, TAO Lei. Incomplete Fingerprint Recognition Based on Inproved GA-PSO[J]. Chinese Journal of Electronics, 2013, 22(4): 769-772.
Citation: JING Xiaojun, ZHANG Jie, JIANG Haixia, ZHONG Mingliang, TAO Lei. Incomplete Fingerprint Recognition Based on Inproved GA-PSO[J]. Chinese Journal of Electronics, 2013, 22(4): 769-772.

Incomplete Fingerprint Recognition Based on Inproved GA-PSO

Funds:  This work is supported by the National Science Foundation of China (No.60872148, No.61143008).
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  • Corresponding author: JING Xiaojun, ZHANG Jie
  • Received Date: 2012-07-01
  • Rev Recd Date: 2012-11-01
  • Publish Date: 2013-09-25
  • Minutiae-based algorithm plays a more and more important role in fingerprint recognition. It is greatly limited by its demand for good image quality and dependence on fingerprint aligning, especially for incomplete fingerprint recognition. Improved Genetic algorithm-Particle swarm optimization (GA-PSO) algorithm is applied to deal with these problems. The proposed algorithm improves GA-PSO in two aspects, population initialization based on reference point pre-aligning and fitness function construction based on fusion of minutiae-matching and orientationmatching. The experimental results on the FVC2004 show the high effectiveness and practicability of our algorithm.
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