Design Method of Video Based Iris Recognition System (V-IRS)

نویسندگان

  • Asama Kuder Nseaf
  • Azizah Jaafar
  • Haroon Rashid
  • Riza Sulaiman
  • Rahmita Wirza O. K. Rahmat
چکیده

Reliable person recognition is crucial in all modern-day processes. Biometric systems have been arrayed by public and private organizations. Iris has been used as the most trusted physical attribute of human being as it is accurate, highly reliable, unchangeable and unique. Iris recognition is the identification for an individual based on iris features. In the past, many methods were used to enhance the efficiency of iris recognition systems (IRS). However, currently, the majority of existing systems substantially limit the position and motion of the subjects during the recognition process. This is largely due to the image acquisition process, rather than the specific pattern-matching algorithm applied during the recognition process. Therefore, the current study proposes an accurate method for identification of people using iris recognition system based on video streaming (V-IRS). The results of the study are expected to reveal that iris recognition on the move is an accurate and effective method to identifying people. The study concludes by highlighting the importance of the iris recognition system based on the subject moving.

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تاریخ انتشار 2013