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Abstract
As a standard, 512 byte IrisCode templates developed with specific algorithms are stored in databases and used in iris recognition process. Future tendencies are to use exclusively real iris images rather than IrisCode templates in the iris recognition process. Many of current iris recognition systems use portable devices (e.g. iris scanners) which are often required to transmit image or template over communication channel. Image compression can be used in order to reduce the transmission time and storage capacities. Classified Vector Quantization (CVQ) and ordinary Vector Quantization (VQ) are used for compression of greyscale iris images collected from one of the available public databases of iris images. Results show that both compression methods are significantly more effective when applied to iris images than when applied to average images from everyday environments since iris images are fairly uniform and contain lowcontrast levels. Originally, CVQ is used to improve the quality of edges of compressed images because they are the most important part of image for visual impression on humans. The paper presents the comparison and major advantage of CVQ over ordinary VQ in terms of significant time reduction needed for iris images to be coded, and therefore it highlights a new important application of CVQ.
Highlights
Iris recognition is a method of identifying people based on unique patterns within the ring-shaped region surrounding the pupil of the eye [1]
Performed experiments from other studies proved that ordinary Vector Quantization (VQ) provides better results than Discrete Cosine Transform (DCT) method when used for iris image compression
Results show that Classified Vector Quantization (CVQ) has a significant coding time advantage over VQ which can be of great importance when used in iris recognition procedures
Summary
Iris recognition is a method of identifying people based on unique patterns within the ring-shaped region surrounding the pupil of the eye [1]. It has been shown that the iris biometrics has major advantages over other biometrics, and is considered to be the most reliable method for human identification [1]. It is most often used for security-related applications. Seaports and marine terminals are home to high consequence facilities such as oil and gas storage, chemical, intermodal and port operations. These kinds of environments require accurate and reliable access control and identity verification which can be obtained via iris recognition system
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