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Demographic Classification with Local Binary Zhiguang Yang and Haizhou Ai

Summary: Demographic Classification with Local Binary
Zhiguang Yang and Haizhou Ai
Department of Computer Science and Technology,
Tsinghua University, Beijing 100084, China
Abstract. LBP (Local Binary Pattern) as an image operator is used
to extract LBPH (LBP histogram) features for texture description. In
this paper, we present a novel method to use LBPH feature in ordinary
binary classification problem. Given a restricted local patch, the Chi
square distance between the extracted LBPH and a reference histogram
is used as a measure of confidence belonging to the reference class, and
an optimal reference histogram is obtained by iteratively optimization;
real AdaBoost algorithm is used to learn a sequence of best local features
iteratively and combine them into a strong classifier. The experiments
on age, gender and ethnicity classification demonstrate its effectiveness.
Key words: real AdaBoost, LBPH, demographic classification
1 Introduction
LBP operator was introduced by Ojala in 1996 [14] for texture classification,
later it was used for face recognition [1], facial expression recognition [2] and


Source: Ai, Haizhou - Department of Computer Science and Technology, Tsinghua University


Collections: Computer Technologies and Information Sciences