A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
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A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Iris recognition is one of techniques used to identify people. Commercial iris recognition systems are currently employed to allow passengers in some airports to be rapidly processed through security, to allow access to secure areas, and for secure access to computer networks. With the growing employment of iris recognition systems and associated research to support this, the need for large databases of iris images is growing. If required storage space is not adequate for these images, compression is an alternative. It allows a reduction in the space needed to store these iris images, although it may the cost of some amount of information lost in the process and therefore the solution is Image Compression. This work investigates the effects of image compression on iris recognition. Compression is performed using SPIHT and JPEG2000, and the iris recognition algorithm used is based on Daugman's methods.