Application of automatic fingerprint identification algorithm in criminal investigation

摘要

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 arc 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.