Open AccessIris Recognition Using Discrete Cosine Transform and Artificial Neural Networks
Author(s) -
Ahmad M. Sarhan
Publication year - 2009
Publication title -
journal of computer sciences/journal of computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.161
H-Index - 28
eISSN - 1552-6607
pISSN - 1549-3636
DOI - 10.3844/jcssp.2009.369.373
Subject(s) - computer science , discrete cosine transform , artificial neural network , artificial intelligence , iris recognition , pattern recognition (psychology) , iris (biosensor) , computer vision , speech recognition , biometrics , image (mathematics)
Problem statement: This study presented an efficient Iris recognition system. Approach: The design used the discrete cosine transform for feature extraction and artificial neural networks for classification. The iris images used in this system were obtained from the CASIA database. Results: A robust system for iris recognition was developed. Conclusion: An iris recognition system that produces very low error rates was successfully designe