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Proceedings Paper

Fingerprint identification based on neural network for large fingerprint database
Author(s): Zhicheng Wang; Hongwei Zhang; Juan Peng; Li Yang
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Paper Abstract

In this paper, we propose a novel approach in fingerprint identification for large Fingerprint database. First of all, we use neural network to extract minutiae. Then, facing the problems of large fingerprint database storage, matching speed, different fingerprint size, different fingerprint angles, we propose new a method that translates the fingerprint image to a n-dimension descriptor to represent the fingerprint features. This descriptor won’t be influenced by these problems. Finally, we propose D-LVQ to classify the sample set based on the training model. So, the all steps of fingerprint identification are neural networks. Experimental Results show that the method we proposed has better performance for large fingerprint database in accuracy, time and storage.

Paper Details

Date Published: 26 July 2018
PDF: 7 pages
Proc. SPIE 10828, Third International Workshop on Pattern Recognition, 1082804 (26 July 2018); doi: 10.1117/12.2501788
Show Author Affiliations
Zhicheng Wang, Tongji Univ. (China)
Hongwei Zhang, Tongji Univ. (China)
Juan Peng, Tongji Univ. (China)
Li Yang, Tongji Univ. (China)

Published in SPIE Proceedings Vol. 10828:
Third International Workshop on Pattern Recognition
Xudong Jiang; Zhenxiang Chen; Guojian Chen, Editor(s)

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