A new approach for authentication of individuals is presented in this paper. Use of the veins of the dorsal hand using infrared imaging and extraction of knuckle tip information is done. The knuckle tips are used as control points for obtaining the region which we are interested in that is the region of interest. The vein pattern is extracted to locate the branching points from which the intersection points are obtained. The distances and angles between each point and the other points is computed and a database of these features is created. Score generation and matching is done using the distance and angle combination between the intersection points. The system is then trained using neural network for better accuracy. The proposed system is contactless and low cost. This system produced satisfactory results and provides an user friendly means of verifying individuals.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Dorsal hand vein pattern recognition system based on neural network


    Contributors:


    Publication date :

    2017-04-01


    Size :

    251962 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Dorsal Hand Vein Recognition Algorithm Based on Improved Nonnegative Matrix Factorization

    Jia, Xu / Cui, Jianjiang / Sun, Fuming et al. | British Library Online Contents | 2016


    Local feature approach to dorsal hand vein recognition by Centroid-based Circular Key-point Grid and fine-grained matching

    Huang, Di / Zhang, Renke / Yin, Yuan et al. | British Library Online Contents | 2017


    Local feature approach to dorsal hand vein recognition by Centroid-based Circular Key-point Grid and fine-grained matching

    Huang, Di / Zhang, Renke / Yin, Yuan et al. | British Library Online Contents | 2017