원문정보
초록
영어
This study presents a new algorithm for biometric-based iris recognition system. The proposed iris identification algorithm consists of four major fundamental steps: image processing; image localization; IER extraction; and image pattern recognition. An image of an individual’s eye is processed into an 8-bit grayscale BMP image until the boundaries of the iris are detected. The IER (Iris Effective Region) feature is then extracted using the feature extraction algorithm. This IER feature is a 12x8 BMP image pattern which contains the gray values of the iris and will be used for pattern matching. The IER feature extracted is then used as input for the pattern recognition algorithm wherein the linear correlation coefficients are analyzed and will be used as the basis for the identification and verification of an individual.
목차
1. Introduction
2. Related Works
3. Linear Correlation Coefficient
4. Proposed Work
4.1 Image Processing
4.2 Image Localization
4.3 IER Extraction
4.4 Pattern Recognition
5. Experimental Results
6. Conclusion and Future Work
References