Gender Classification Based on Multiscale Facial Fusion Feature

Gender Classification Based on Multiscale Facial Fusion Feature

For gender classification, we present a new approach based on Multiscale facial fusion feature (MS3F) to classify gender from face images. Fusion feature is extracted by the combination of Local Binary Pattern (LBP) and Local Phase Quantization (LPQ) descriptors, and a multiscale feature is generate...

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Bibliographic Details
Main Authors: Chunyu Zhang, Hui Ding, Yuanyuan Shang, Zhuhong Shao, Xiaoyan Fu
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2018/1924151

Internet

http://dx.doi.org/10.1155/2018/1924151

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