Iris Feature Extraction and Recognition based on Gray Level Co-occurrence Matrix (GLCM) Technique
A. Rabab · International Journal of Computer Applications · 2018
Biometric features have received great attention for many applications.Iris recognition is one of the most modern biometric technique that is used for accurate and reliable authentication.Recently, Gray-Level Cooccurrence Matrix (GLCM) is one of the advanced techniques used for features extraction.In this paper, an iris recognition system proposed involves; preprocessing, feature extraction, and matching processes.After the preprocessing process, the feature extraction technique based on GLCM has been applied to pure iris region to extract features.Only one of the second-order statistical features known as contrast will be calculated from the generated co-occurrence matrix and stored it as a numerical feature vector in CASIA-v4.0-irisdatabase.During recognition, the matching metric based on Euclidean distance has been used for authentication.Results have demonstrated (99.5%) highly accuracy rate with (0.02) FAR, and (0.01) FRR.