Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
권호 표지
DOI QR코드

DOI QR Code

Iris Pattern Positioning with Preserved Edge Detector and Overlay Matching

  • Ryu, Kwang-Ryol (Department of Electronic Engineering, Mokwon University)
  • Received : 2010.05.25
  • Accepted : 2010.06.07
  • Published : 2010.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

An iris image pattern positioning with preserved edge detector, ring zone and clock zone, frequency distribution and overlay matching is presented in this paper. Edge detector is required to be powerful and detail. That is proposed by overlaying Canny with LOG (CLOG). The two reference patterns are made from allocating each gray level on the clock zone and ring zone respectively. The normalized target image is overlaid with the clock zone reference pattern and the ring zone pattern to extract overlapped number, and make a matched frequency distribution to look through a symptom and position of human organ and tissue. The iterating experiments result in the ring and clock zone positioning evaluation.

Keywords

References

  1. Donald R. Bamer, Practical Iridology and Sclerology, Woodland Publishing, 1996.
  2. K.R. Ryu, "Area Recognition for Iries Diagnosis with Edge Image Pattern Matching", Proceedings of KIMICS, vol5, no.1, pp.653- 655, 2001.
  3. K. R. Ryu and D. H. Chai, "Moving Iris Tracking and Screen Cursor Real Time Matching", J. of KIMICS, vol.9, no.7, pp.1508- 1512, 2005.
  4. Christelloic Tisse, Lionel Martin, Lionel Torres and Michel Robert, "Person Identification Technique using Human Iris Recognition".
  5. John Canny, "A Computational Approach for Edge Detection", IEEE Trans. Pattern Anal. Machie Intell., vol.8, no.6, pp.679-698, 1986.
  6. Andres Hertus and Gerard Medioni, "Detection of Intensity Changes with Subpixel Accuracy using Laplacian Masks", IEEE Transaction on Pattern Anaysis and Machine Intelligence vol. no.5, PAMI-8, pp.651-665, September 1986.
  7. Rafael C. Gonzalez and Richard E. Woods, Digital Image Processing, pp. 693-696, Prentice Hall, 2002.
  8. Anil K. Jain, Fundamental of Digital Image Processing, Prentice Hall, 1989.