Fovea intensity comparison code for person identification and verification

摘要

In this paper a method is proposed for person identification and verification. The method proposed in Viola and Jones (2001) is used to detect the face region in the image. The detected face region is processed to determine the locations of the eyes and mouth. The facial and mouth features are extracted relative to the locations of the eyes and mouth. A new feature called fovea intensity comparison code (FICC) is obtained from intensity values of the face/mouth region. The dimension of the FICC is reduced using principal component analysis (PCA). Euclidean distance matching is used for identification and verification. The performance of the system is evaluated in real time in the laboratory environment, and the system achieves a recognition rate (RR) of 99.0% and an equal error rate (EER) of about 0.84% for 50 subjects. The performance of the system is also evaluated for the extended Multi Modal Verification for Teleservices and Security (XM2VTS) database, and the system achieves a recognition rate of 100% an equal error rate (EER) of about 0.23%.