International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Statistics report
Apr. 2024
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 133
Paper Published : 1712
No. of Authors : 4737
  Journal Paper


Paper Title :
Evaluation of Iris Recognition Methods using Compressed Iris Images

Author :Krupa Jariwala

Article Citation :Krupa Jariwala , (2018 ) " Evaluation of Iris Recognition Methods using Compressed Iris Images " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 8-10, Volume-6,Issue-4

Abstract : Iris recognition system provides a very high level of security; hence they are deployed to allow people to rapidly access the secure areas through iris biometrics. Due to the growing demand of this technology, there is a continuous increasing need to store and handle the acquired biometric data. As the data grows large in size, the required storage would be large and may not be sufficient to address the need. In such case, image compression is the only alternative however; the high amount of reduction in space is achieved at the cost of some amount of loss in information. In this study, the compression on iris images is performed using JPEG 2000. Various state of the art iris recognition algorithms are reviewed to identify its efficiency and its strength for accurate iris recognition when high amount of compression is applied on iris images. Index terms - Biometrics, Iris Recognition, JPEG2000.

Type : Research paper

Published : Volume-6,Issue-4


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