An Approach to Enhance Security Environment Based on SIFT Feature Extraction and Matching to Iris Recognition

• Published in: Information Processing and Management pp. 527 - 530
• Main Authors: Patil, C. M., Patilkulkarni, Sudarshan
• Format: Book Chapter
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg
• Series: Communications in Computer and Information Science
• Subjects: Iris Recognition; Scale Invariant Feature Transformation (SIFT); Texture Analysis
• ISBN: 9783642122132; 3642122132
• ISSN: 1865-0929; 1865-0937
• DOI: 10.1007/978-3-642-12214-9_93

With growing emphasis on human identification, iris recognition has recently received increasing attention. Iris feature extraction is the crucial stage of the whole iris recognition process. Through analyzing iris feature extraction and matching method, iris features are not consistent because most feature extraction techniques are sensitive to the variations of captured image data. In this paper we use the Scale Invariant Feature Transformation (SIFT) for recognition using iris images which is invariant to image scaling and rotation. We extract the characteristic SIFT feature points which shows the higher feasibility in the iris feature extraction and matching process.