Enhancement segmentation technique for iris recognition system based on Daugman's Integro-differential operator

Asama Kuder Nsaef, Azizah Jaafar, Khider Nassif Jassim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

In spite of having been highly recognized as one of the critical steps in recognizing and determining the accuracy of iris matching, segmentation process of Iris is still encountered with few problematic challenges, especially in the process of separating the iris from the eye image and eyelids and eyelashes as it leads to reduction of the accuracy. To enhance the accuracy of iris segmentation, therefore, this study was carried-out using Integro-differential Operator approach in the segmentation process with the aim of locating the iris region of eye image, by employing one centre of the iris and pupil. This approach is found more effective in emphasizing the accuracy of iris segmentation. The evaluation was carried-out at the end of the study using CASIA-IrisV3-Intervals Database. The results of the experimental evaluation showed that the accuracy of the iris recognition increased, and the speed was acceptable.

Original languageEnglish
Title of host publicationProceedings - 2012 International Symposium on Instrumentation and Measurement, Sensor Network and Automation, IMSNA 2012
Pages71-75
Number of pages5
Volume1
DOIs
Publication statusPublished - 2012
Event2012 International Symposium on Instrumentation and Measurement, Sensor Network and Automation, IMSNA 2012 - Sanya, Hainan
Duration: 25 Aug 201228 Aug 2012

Other

Other2012 International Symposium on Instrumentation and Measurement, Sensor Network and Automation, IMSNA 2012
CitySanya, Hainan
Period25/8/1228/8/12

Keywords

  • Enhancement Segmentation
  • Integro-differential
  • Iris Recognition

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Nsaef, A. K., Jaafar, A., & Jassim, K. N. (2012). Enhancement segmentation technique for iris recognition system based on Daugman's Integro-differential operator. In Proceedings - 2012 International Symposium on Instrumentation and Measurement, Sensor Network and Automation, IMSNA 2012 (Vol. 1, pp. 71-75). [6324518] https://doi.org/10.1109/MSNA.2012.6324518

Enhancement segmentation technique for iris recognition system based on Daugman's Integro-differential operator. / Nsaef, Asama Kuder; Jaafar, Azizah; Jassim, Khider Nassif.

Proceedings - 2012 International Symposium on Instrumentation and Measurement, Sensor Network and Automation, IMSNA 2012. Vol. 1 2012. p. 71-75 6324518.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nsaef, AK, Jaafar, A & Jassim, KN 2012, Enhancement segmentation technique for iris recognition system based on Daugman's Integro-differential operator. in Proceedings - 2012 International Symposium on Instrumentation and Measurement, Sensor Network and Automation, IMSNA 2012. vol. 1, 6324518, pp. 71-75, 2012 International Symposium on Instrumentation and Measurement, Sensor Network and Automation, IMSNA 2012, Sanya, Hainan, 25/8/12. https://doi.org/10.1109/MSNA.2012.6324518
Nsaef AK, Jaafar A, Jassim KN. Enhancement segmentation technique for iris recognition system based on Daugman's Integro-differential operator. In Proceedings - 2012 International Symposium on Instrumentation and Measurement, Sensor Network and Automation, IMSNA 2012. Vol. 1. 2012. p. 71-75. 6324518 https://doi.org/10.1109/MSNA.2012.6324518
Nsaef, Asama Kuder ; Jaafar, Azizah ; Jassim, Khider Nassif. / Enhancement segmentation technique for iris recognition system based on Daugman's Integro-differential operator. Proceedings - 2012 International Symposium on Instrumentation and Measurement, Sensor Network and Automation, IMSNA 2012. Vol. 1 2012. pp. 71-75
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