Discriminant Orientation Feature for Palmprint Recognition

In this paper, we propose a novel feature for palmprint recognition, called Discriminant Orientation Feature (DORIF) based on using Modified Finite Radon Transform (MFRAT) and Two Directional Two Dimensional Linear Discriminant Analysis (2D)2LDA. Our proposed method includes two main steps for palmprint feature extraction: (1) Local invariant orientation features are extracted by using MFRAT that handles the palm structure and the variations of illumination and rotation. (2) (2D)2LDA is then applied to further remove redundant information and form a discriminant representation more suitable for palmprint recognition. The experimental results for the identification on public database of Hong Kong Polytechnic University (PolyU) demonstrate the effectiveness of the proposed method.