Abstract
Real-time support for an iris recognition algorithm is a considerable challenge for a portable system that is commonly used in the field. In this paper, an efficient parallel and pipeline architecture design for the feature extraction and template matching processes in the Ridge Energy Direction (RED) algorithm for iris recognition is presented. Several techniques used in the proposed architecture design to reduce the computational complexity while supporting a high performance capability include (i) a circle approximation method for the iris unwrapping process, (ii) a parallel design with an on-chip buffer for 2D convolution in the feature extraction process, and (iii) an approximation method for log2 and inverse-log2 conversion in the template matching process. Performance analysis shows that the proposed architecture achieves a speedup of 881 times compared to the conventional method. The proposed design can be integrated with an embedded microprocessor to realize a complete system-on-chip solution for a portable iris recognition system.
Highlights
Biometrics is the quantitative measurement of human characteristics typically used for security purposes, such as authentication and personal identification [1,2]
This paper has presented a novel architecture design for implementing the feature extraction and template matching processes in an iris recognition system
The iris unwrapping process was achieved by utilizing the efficient Bresenham circle algorithm to generate circle point locations in an iris image
Summary
Biometrics is the quantitative measurement of human characteristics typically used for security purposes, such as authentication and personal identification [1,2]. The human iris can be used to identify a person through means of an iris recognition system [3]. Iris recognition is one of the best biometric-based authentication systems used today due to its low error rates [4]. Iris recognition can be used in security systems, but for other purposes [5]. In the field of consumer electronics, the trend in recent years indicates a greater use of biometric applications in handheld devices for authentication and security purposes [6]. Using an iris recognition method to authenticate a user is much more secure than using a password for controlled access. The reliability and accuracy of these algorithms can be further improved by combining multiple biometric features, such as the face, left iris, right iris, fingerprint, etc. [7]
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