Iris Image compression Using JPEG 2000 & It's Effect on Recognition Performance
Abstract
In the present age of digital impersonation, biometric techniques are proved to be the best method to protect against identity thefts. In Biometric technologies Iris recognition is a proved to be most accurate means to identify people. Iris is regarded as the most reliable biometric feature in terms of its uniqueness and robustness .For Iris Recognition iris images from different person should be stored in the data base & called whenever required. So there is need for a large database of iris images is required. If available storage space is not enough for storing these images, compression will be a solution. Compression allows reduction in the space needed to store these iris images & also important when transferring these images through internet. The objective of this paper is to present the effects of image compression on the iris recognition performance. Normally, standard iris images are 600 times larger than the Iris Code templates which required larger space for storage .It is desired that iris data should be stored, transmitted, and embedded in media in the form of images rather than as templates so that it can be used in future. To obtain this goal with its implications for bandwidth and storage, a method is presented that combine region-of-interest isolation with JPEG 2000 at different compression factor. Study reveals that it is possible to compress iris images with minimal impact on recognition performance.
References
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