Comparative analysis between Verieye's and Libor Masek's algorithm in iris recognition

  • Authors:

  • Ingrid Christiani;Benny Senjaya;Bens Pardamean

  • Affiliations:

  • Computer Science, BINUS University, Jakarta, Indonesia;Department of Industrial Engineering, BINUS University, Jakarta, Indonesia;Computer Science, BINUS University, Jakarta, Indonesia

  • Venue:
  • CIMMACS'11/ISP'11 Proceedings of the 10th WSEAS international conference on Computational Intelligence, Man-Machine Systems and Cybernetics, and proceedings of the 10th WSEAS international conference on Information Security and Privacy
  • Year:
  • 2011

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Abstract

The study is to comparethe performance of iris recognition algorithm between the open source algorithm (Libor Masek) and the commercially available one (VeriEye by Neurotechnology).There are five processes to evaluate the performance: 1) resize the bath iris images' resolution from 1280×960 to 640×480, 2) convert the images from JPEG2000 to JPEG format, 3) convert the images into grayscales using Matlab, 4) run the images with both Libor Masek and VeriEye algorithm, 5) measure the performance of the two algorithms usingReceiver Operating Characteristic (ROC) curve and the operational time framework. The ROC curves show that VeriEye's algorithm performs better than Libor Masek's. However, there is no significant difference in the processing time between the two algorithms.