The human hand possesses distinctive features which can reveal gender information. In addition, the hand is considered one of the primary biometric traits used to identify a person. In this work, we propose a large dataset of human hand images with detailed ground-truth information for gender recognition and biometric identification. The proposed dataset comprises of 11,076 hand images (dorsal ...

Women typically remember more female than male faces, whereas men do not show a reliable own-gender bias. However, little is known about the neural correlates of this own-gender bias in face recognition memory. Using functional magnetic resonance imaging (fMRI), we investigated whether face gender modulated brain activity in fusiform and inferior occipital gyri during incidental encoding of fac...

Research in face and gender recognition under constrained environment has achieved an acceptable level of performance. There have been advancements in face and gender recognition in unconstrained environment, however, there is significant scope of improvement in surveillance domain. Face and gender recognition in such a setting poses a set of challenges including unreliable face detection, mult...

This paper has reported on the comparative evaluation of gender recognition algorithms. The work that we described here is the two pitch detection algorithms and the related techniques including preprocessing, post-processing and extraction of pitch pattern. The gender based differences in human speech are partially due to physiological differences such as vocal fold thickness or vocal tract le...

Recognition of facial attributes such as facial point, gender, and age has been used in marketing strategies and social networking services. Marketing strategies recommend the goods, that are supposed to matches the needs of potential clients. Various social networking services based on facial recognition techniques have recently been developed that can estimate age from a facial image with a h...