A Novel Iris Recognition Using Structural Feature of Collarette

نویسندگان

  • Shun-Hsun Chang
  • Wen-Shiung Chen
چکیده

This paper presents a novel idea based on a kind of structure-based pattern, such as collarette, embedded in human iris for biometric recognition. The feature extraction module traces the collarette. The system encodes the features to generate its iris feature codes. Finally, the recognition module uses these feature codes for iris matching. The experimental results show that the system has an encouraging performance against the UBIRIS iris image database. The recognition rates up to 98.09%, 97.61%, and 96.35%, respectively, using 512-bit, 256-bit and 128-bit iris codes can be achieved.

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تاریخ انتشار 2009