Personal Identification with Face Biometrics using Color Local Texture Features

F ace recognition (FR) has received a significant interest in pattern recognition and computer vision due to the wide range of applications including video surveillance, biometric identification, and face indexing in multimedia contents. Recently, local texture features have gained reputation as powerful face descriptors because they are believed to be more robust to variations of facial pose, expression, occlusion, etc. I n particular, local binary pattern (LBP) texture feature has proven to be highly discrimina tive for FR due to different levels o f locality. Hence, it is proposed to empl oy these features along with color local texture feature for efficient FR system. The personal identification accuracy with face modality using color local texture features is ar ound 9 7 % is achieved