題名: A NOVEL IRIS RECOGNITION USING STRUCTURAL FEATURE OF COLLARETTE
作者: Chang, Shun-Hsun
Chen, Wen-Shiung
關鍵字: Biometric Recognition
Iris
Structural Feature
Collarette
期刊名/會議名稱: NCS 2009
摘要: 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.
日期: 2011-04-01T00:17:59Z
分類:2009年 NCS 全國計算機會議

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