Person verification based on finger knuckle images and least-squares contour alignment

In this paper, a new approach for personal identity verification using finger knuckle images and least-square contour alignment method has been proposed. A special test rig with a digital camera was prepared for acquisition the knuckle images. Next, the obtained images of finger knuckle were subjected to image processing method in order to extract the knuckle furrows from them. The verification of person was performed by comparing the furrows on the verified and the reference knuckle images. To determine the similarity between the furrows we used the least-square contour alignment method. The usability of the proposed approach was tested experimentally. Practical experiments, conducted with our database, confirmed that results obtained are promising.