Title: Application of automatic fingerprint identification algorithm in criminal investigation

Authors: Xiangyang Wang

Addresses: Department of Criminal Science and Technology, Henan Police College, Zhengzhou, 450046, China

Abstract: In the practical application of traditional fingerprint identification algorithm, the error of fingerprint detail feature extraction is high, and the effect of edge recognition is poor. Therefore, the application research of fingerprint automatic identification algorithm in criminal investigation is proposed. Firstly, the collected fingerprint image is preprocessed to obtain the size of fingerprint effective area and fingerprint image grey level. Based on Gabor filter, the balanced and normalised fingerprint image is segmented and enhanced by filtering. Finally, feature extraction, classification and detail matching are carried out for the enhanced fingerprint. The experimental results show that the error value of the algorithm is relatively stable, the edge recognition effect is good, and the effective information loss rate is low. It has a good effect in the practical application of criminal investigation.

Keywords: automatic fingerprint identification algorithm; criminal investigation; fingerprint image grey; Gabor filter; criminal activity information.

DOI: 10.1504/IJWET.2022.127874

International Journal of Web Engineering and Technology, 2022 Vol.17 No.3, pp.278 - 295

Received: 30 Mar 2022
Received in revised form: 18 Jul 2022
Accepted: 25 Jul 2022
Published online: 20 Dec 2022 *

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