Two Steps PalmPrint Recognition with Texture Features and SURF Descriptors

In this paper we present a two steps method for palmprint classification, that combine texture feature and SURF descriptors extracted from palmprint images. Depending on the choice of parameters, the use of SURF descriptors can be a time-consuming procedure. Experiments based on the approach proposed in this paper have led to very good results, in a shorter computing time than SURF-based approaches. The experiments results demonstrate that the proposed method can be also used to select a subset of candidates in the classification process of an image, subset that can be further employed in other more computationally expensive methods. The method was tested on five well-known palmprint databases.