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Iris recognition with image compression using SPIHT

Published: 26 February 2010 Publication History

Abstract

Iris recognition is used to identify people. A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Commercial iris recognition systems are used, 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 be at a cost in some amount of information lost in the process. This paper investigates the effects of image compression on iris recognition. Compression is performed using SPIHT, and the iris recognition algorithm used is based on several methods.

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ICWET '10: Proceedings of the International Conference and Workshop on Emerging Trends in Technology
February 2010
1070 pages
ISBN:9781605588124
DOI:10.1145/1741906
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • UNITECH: Unitech Engineers, India
  • AICTE: All India Council for Technical Education

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 February 2010

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