The gender recognition problem has attracted the attention of computer vision community due to its importance in many applications (e.g., surveillance and human–computer interaction [HCI]). Images varying levels illumination, occlusion, other factors are captured uncontrolled environments. Iris facial technology cannot be used on these images because iris texture is unclear instances, faces may...

In this paper, we design and evaluate a convolutional autoencoder that perturbs an input face image to impart privacy to a subject. Specifically, the proposed autoencoder transforms an input face image such that the transformed image can be successfully used for face recognition but not for gender classification. In order to train this autoencoder, we propose a novel training scheme, referred t...

Biometric authentication is one of the most quickly increasing innovations in today's world; this promising technology has seen widespread use a variety fields, including surveillance services, safe financial transfers, credit-card authentication. biometric verification processes such as gender, age, ethnicity iris recognition considered accurate compared to other vital features face, hand geom...

Gender recognition from unconstrained face images is a challenging task due to the high degree of misalignment, pose, expression, and illumination variation. In previous works, the recognition of gender from unconstrained face images is approached by utilizing image alignment, exploiting multiple samples per individual to improve the learning ability of the classifi er, or learning gender based...

This article address a novel emotion recognition system based on the Truncated Gaussian mixture model .The proposed system has been experimented over an gender independent emotion recognition database In the recent past, many models have been listed in the literature based on the emotion recognition, but these papers are more focused towards the speech, ignoring the emotion of the speaker at th...

The objective of this work is to provide a simple and yet efficient tool for human attributes like gender, age and ethnicity by the human facial image in the real time image as we all aware this term that “Real-Time frame rate is a vital factor for practical deployment of computer vision system”. In this particular paper we are trying to presents the progress towards face detection and human at...