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“School of Cognitive”

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Paper   IPM / Cognitive / 11385
School of Cognitive Sciences
  Title:   An Intelligent Decision Combiner Applied to Noncooperative Iris Recognition
1.  N. Tajbakhsh
2.  Babak Nadjar Arabi
3.  Hamid Soltanianzadeh
  Status:   In Proceedings
  Proceeding: Presented at and Published in the Proceeding of the 11th International Conference on Information Fusion, Cologne, Germany, June 30-July 3, 2008
  Year:  2008
  Supported by:  IPM
In despite of successful implementation of iris recognition systems, noncooperative recognition is still remained as an unsolved problem. Unexpected behavior of the subjects and uncontrolled lighting conditions as the main aspects of noncooperative iris recognition result in blurred and noisy captured images. This issue can degrade the performance of iris recognition system. In this paper, to address the aforementioned challenges, an intelligent decision combiner is proposed in which prior to perform decision fusion; an automatic image quality inspection is carried out. The goal is to determine whether captured decisions based on visible light (VL) and near infrared (NIR) images have enough reliability to incorporate into final decision making. Experimental results on the UTIRIS confirm the superior performance of the proposed combiner in comparison with other common nontrainable decision combiners whereas in all cases, the effectiveness of fusion approach makes it a reliable solution to noncooperative subjects? behavior and uncontrolled lighting conditions.

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