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A new branch of biometrics, hand recognition, has attracted increasing amount of attention in recent years. In this paper, we propose an approach of hand detection based skin color pixel for biometric applications using multi layer perceptron (MLP) neural network. This later has the ability to classify skin pixels belonging to people with different skin tones and captured in different lighting conditions and complex background environments. To improve the achieved results, a succession of post-processing was proposed. The choice of the database is an important step in testing a biometric process. For this, we build a database named "Sfax-Miracl hand database". This database contains a total of 1080 images having the advantage of being captured from freely posed hands in contact free settings. Various conducted experiments on this database show promising results and demonstrate the effectiveness of the proposed approach.

Sfax-Miracl Hand Database for Contactless Hand Biometrics Applications