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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Veröffentlicht in:	Mathematical problems in engineering 2018-01, Vol.2018 (2018), p.1-6
Hauptverfasser:	Shao, Zhuhong, Shang, Yuanyuan, Ding, Hui, Zhang, Chunyu, Fu, Xiaoyan
Format:	Artikel
Sprache:	eng
Schlagworte:	Architectural engineering Artificial intelligence Classification Electrical engineering Engineering Feature extraction Fourier transforms Gender Image classification Neural networks Pattern recognition Performance enhancement State of the art Studies Support vector machines
Online-Zugang:	Volltext
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