Volume 7 Issue 1 - May 2016

  • 1. Artificial intelligence based sclera vein pattern recognition for human identification.

    Authors : Onkar Hastak, Prof.d.r. Dandekar, Prof.v.r. Ingle

    Pages : 511-516

    DOI : http://dx.doi.org/10.21172/1.71.073

    Keywords : Biometrics, Sclera vessels Patterns, FCM, BPDHE, D-LBP, ANN, UBIRIS.

    Abstract :

    In this paper, we propose Artificial Intelligence based sclera vein pattern recognition for human identification. Here sclera segmentation is performed by Fuzzy clustering Means (FCM). Since the sclera vein patterns are not clearly visible, image enhancement is required. A Fuzzy logic-based Brightness Preserving Dynamic Fuzzy Histogram Equalization (BPDHE) is used to enhance the sclera vein patterns. Dense Local Binary Pattern (D-LBP) is used for feature extraction. Finally, for matching purposes Artificial Neural Network (ANN) with back propagation is used. The UBIRIS.v1 database is used here for experimentation. The experimental results achieve matching overall accuracy of 98.88% and 80.31% average noise removed from noisy images to perform matching.

    Citing this Journal Article :

    Onkar Hastak, Prof.d.r. Dandekar, Prof.v.r. Ingle, "Artificial intelligence based sclera vein pattern recognition for human identification.", https://www.ijltet.org/journal_details.php?id=901&j_id=3089, Volume 7 Issue 1 - May 2016, 511-516, #ijltetorg