Co-operative surveillance cameras for high quality face acquisition in a real-time door monitoring system

A poster session on co-operative surveillance cameras for high quality face acquisition in a real-time door monitoring syste

Gender Recognition from Faces Using Bandlet and Local Binary Patterns

Abstract — In this paper, multi-scale bandlet and local binary pattern (LBP) based method for gender recognition from faces is proposed. Bandlet is one of the multi-resolution techniques that can adapt the orientation of the edges of the face images, and thereby can better capture the texture of a face image. After extracting bandlet coefficients from face images at different scales, LBP is applied to create a histogram, which is used as the feature to a minimum distance classifier. The experiments are performed using FERET grayscale face database, and the highest accuracy of 99.13 % is obtained with the proposed method