Fingerprint identification based on neural network for large fingerprint database

Zhicheng Wang; Hongwei Zhang; Juan Peng; Li Yang

doi:10.1117/12.2501788

26 July 2018 Fingerprint identification based on neural network for large fingerprint database

Zhicheng Wang, Hongwei Zhang, Juan Peng, Li Yang

Proceedings Volume 10828, Third International Workshop on Pattern Recognition; 1082804 (2018) https://doi.org/10.1117/12.2501788
Event: Third International Workshop on Pattern Recognition, 2018, Jinan, China

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.

Citation Download Citation

Zhicheng Wang, Hongwei Zhang, Juan Peng, and Li Yang "Fingerprint identification based on neural network for large fingerprint database", Proc. SPIE 10828, Third International Workshop on Pattern Recognition, 1082804 (26 July 2018); https://doi.org/10.1117/12.2501788

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