Palmprint recognition using valley features
This paper presents a novel approach for palmprint recognition based on the valley features. This approach uses the Bothat operation to extract the valleys from a very low-resolution palm image in different directions to form the valley feature, and then defines a matching score to measure the similarity of the valley features. The experimental results shows that the proposed approach can effectively discriminate palm prints and can obtain about 98% accuracy in palmprint verification.