Abstract
Biometric recognition is a common and reliable way to authenticate the identity of the person. Iris recognition is an automated method of biometric identification that uses mathematical pattern-recognition techniques on images of the irides of an individual's eyes. With the growing employment of the iris recognition systems and associated research to support this, the need for large databases of iris images is growing. If the required storage space is not adequate for these images, compression is an alternative. JPEG standard cannot fulfil the advanced requirements of today’s digital imagery. Digital imaging has become an integral part of the Internet and JPEG 2000 is a powerful new tool that provides power capabilities for designers and users of networked image applications. SPIHT algorithm is a very efficient technique for wavelet image compression. This is based on DWT. SPIHT is an improved and extended version of Embedded Zero tree Wavelet (EZW) coding algorithm. In this paper parameters like compression ratio, signal to noise ratio, average bit rate are obtained for JPEG 2000, SPIHT and modified SPIHT algorithms and compared.
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