It is utmost important to early detect the skin cancers. Proper diagnosis is critical for survival
of the patient. Biopsy method of detection is much painful. We have proposed an automated …

Gait has been shown to be an efficient biometric feature for human identification at a
distance. However, performance of gait recognition can be affected by view variation. This …

Résumé La biométrie se réfère à la reconnaissance automatique des individus basée sur
leurs caractéristiques physiologiques et/ou comportementales. Les systèmes biométriques …

This paper proposes an automated system for recognizing disease conditions of human skin
in context to health informatics. The disease conditions are recognized by analyzing skin …

Understanding brain mechanisms and its problem solving techniques is the motivation of
many emerging brain inspired computation methods. In this paper, respecting deep …

The relatively new field of Multiwavelets shows promise in removing some of limitation of
wavelets. This paper introduces a new human face recognition using the combination of …

This paper proposes a robust schema for face detection system via Gaussian mixture model
to segment image based on skin color. After skin and non skin face candidatespsila …

Skin recognition is used in many applications ranging from algorithms for face detection,
hand gesture analysis, and to objectionable image filtering. In this work a skin recognition …

Virtual reality (VR) is defined as a 3-dimensional (3D), artificially simulated environment
which allows the user to immerse himself/herself in it. From rehabilitation to data …

This paper presents an approach to facial expression recognition based on the theory of
liquid computing. Up to date, no emotion recognition systems based on spiking neural …