On using periocular biometric for gender classification in the wild
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- 作者：Modesto Castrilló ; n-Santana ; mcastrillon@iusiani.ulpgc.es" class="auth_mail" title="E-mail the corresponding author ; modesto.castrillon@ulpgc.es" class="auth_mail" title="E-mail the corresponding author ; Javier Lorenzo-Navarro ; Enrique Ramó ; n-Balmaseda
- 关键词：Gender recognition ; Periocular ; Facial analysis ; Soft biometrics
- 刊名：Pattern Recognition Letters
- 出版年：2016
- 出版时间：15 October 2016
- 年：2016
- 卷：82
- 期：part_P2
- 页码：181-189
- 全文大小：3914 K
文摘
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The periocular area is a reliable cue for automatic gender classification (GC).
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Each local descriptor and grid configuration report different GC accuracy.
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The score level fusion of local descriptors increases GC performance.
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Tests carried out in a challenging large and unrestricted dataset.
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The fusion of periocular and facial GC reduces the classification error in roughly 20%.