Edge Detection and Grey Level Co-Occurrence Matrix (GLCM) Algorithms for Fingerprint Identification

Abstract

The fingerprint identification system is a recognition process by measuring the characteristics on human fingers and then comparing them with those in the database. The purpose of this study is to create a system for fingerprints recognition using the edge detection method and Grey Level Co-occurrence Matrix (GLCM). The method used in this fingerprint recognition research is texture analysis. Preprocessing was performed with edge detection and feature extraction with GLCM method. First, the fingerprint is captured using the fingerprint scanner. Then the fingerprint image was extracted using the Grey Level Co-occurrence Matrix (GLCM) feature. The features obtained are energy, contrast, homogeneity and correlation. The final result of the fingerprint identification system is the success of displaying the image with the identity data of the fingerprint owner. Using two methods, fingerprint identification accuracy of 83% was achieved.