Title: Multi-information fingerprint identification method based on interactive genetic algorithm

Authors: Yuansheng Liu

Addresses: Anhui Vocational College of Press and Publishing, Hefei 230036, China

Abstract: In order to overcome the shortcomings of traditional fingerprint identification methods, such as low computational efficiency and high false classification rate, a new multi-information fingerprint identification method based on interactive genetic algorithm is proposed. Firstly, the multi-information fingerprint image is pre-processed to extract the feature points. Then, combined with the interactive genetic algorithm, the rotation angle of the two fingerprint images is determined. At the same time, the fingerprint offset code is coded, and the matching setting function is set. The matching degree of the two fingerprints is determined by the interactive genetic algorithm, which effectively realises the multi-information fingerprint identification. Finally, the simulation experiment is carried out. The experimental results show that the proposed method can effectively reduce the false classification rate, reduce the average matching time of fingerprint image, and improve the operation efficiency. The minimum error rate is only 1.02%.

Keywords: interactive genetic algorithm; feature point extraction; multi-information fingerprint identification; offset coding.

DOI: 10.1504/IJBM.2022.124674

International Journal of Biometrics, 2022 Vol.14 No.3/4, pp.352 - 366

Received: 11 Sep 2020
Accepted: 17 Nov 2020

Published online: 05 Aug 2022 *

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