Palmprint recognition through the fractal dimension estimation for texture analysis

Abstract

Palmprint is a human physiological feature which can distinguish and identify one person from another. In the palmprint recognition biometric systems, the feature extraction is considered as the most important step. In this paper, we use the fractal approach which is both a very advanced and sophisticated method in order to extract the palmprint texture information features. This approach has been widely used in recent years being considered as an active research area in the image processing field. Therefore, we have implemented a new technique to extract the palmprint texture features: the texture analysis basing on the fractal dimension estimated via the box-counting method or TAFD-BC. Experimental results on the PolyU 2D Palmprint database prove that our proposed approach produces promising and favourable results compared to other well-known state-of-the-art techniques.