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PATTERN RECOGNITION METHOD AND APPARATUS USING LOCAL BINARY PATTERN CODES, AND RECORDING MEDIUM THEREOF
PATTERN RECOGNITION METHOD AND APPARATUS USING LOCAL BINARY PATTERN CODES, AND RECORDING MEDIUM THEREOF
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机译：使用本地二进制模式编码的模式识别方法和装置，及其记录介质
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摘要
A pattern recognition method using Maximization of Mutual Information (MMI)-based Local Binary Pattern (LBP) codes transforms training face images into LBPs and generates LBP-transformed feature vectors based on positions of image pixels. Thereafter, a dimension of each image is reduced by selecting feature vectors maximizing mutual information with a class label vector from among N feature vectors, 256 LBP frequency feature vectors are obtained by performing an LBP code-based histogram transform per image, and Optimal LBP (OLBP) codes maximizing mutual information with the class label vector for the 256 LBP frequency feature vectors are selected. These selected OLBP codes are codes guaranteeing minimization of a classification error rate, and by applying the selected OLBP codes to pattern recognition, a better recognition performance than a conventional local kernel-based image representation method and an enhanced recognition speed due to a reduced number of LBP codes are provided.
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