11K Hands: Gender recognition and biometric identification using a large dataset of hand images

• Published in: Multimedia tools and applications Vol. 78; no. 15; pp. 20835 - 20854
• Main Author: Afifi, Mahmoud
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.08.2019; Springer Nature B.V
• Subjects: Artificial neural networks; Biometric identification; Biometrics; Classifiers; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Datasets; Feature extraction; Gender; Hands; Identification methods; Machine learning; Multimedia Information Systems; Object recognition; Source code; Special Purpose and Application-Based Systems; Support vector machines; Deep learning; Biometric identification; Gender recognition; CNN; Hands dataset; Gender classification
• ISSN: 1380-7501; 1573-7721
• DOI: 10.1007/s11042-019-7424-8

Human hand not only possesses distinctive feature for gender information, it is also considered one of the primary biometric traits used to identify a person. Unlike face images, which are usually unconstrained, an advantage of hand images is they are usually captured under a controlled position. Mo...