Paper
Facial Gender Recognition Based on Local Gabor Binary Pattern and Orthogonal Linear Discriminant Analysis
- Authors:
- Xiaohu Ruan; Zhen Tian; Tongyu Li; Hong Qin; Weijun Li
- Abstract
- Facial gender recognition is a strict application of computer intelligence. The traditional researches on gender recognition usually utilize a certain database, in which the face images of the training set and test set are taken under the same condition and from the same experimental population. That definitely cannot meet the requirement for practical application. In this paper, a novel experiment method is proposed by establishing a new Face Database to simulate real application; and also a facial gender recognition method is proposed. The facial gender recognition method employed Local Gabor Binary Pattern (LGBP), Principal Component Analysis (PCA) and Orthogonal Linear Discriminant Analysis (OLDA) for feature extraction, and a K-Nearest Neighbour (KNN) voting strategy for gender judgement. Experimental results showed that the robustness and generalization ability of this method are better than those of traditional methods. It provides a new perspective for gender recognition.
- Keywords
- Gender recognition; Face image; Local Gabor Binary Pattern; Orthogonal Linear Discriminant Analysis
- StartPage
- 23
- EndPage
- 29
- Doi