Abstract
This paper presents an iris coding method for effective recognition of an individual. The recognition is performed based on a mathematical and computational method called discrete cosine transform (DCT). It consists of calculating the differences of discrete cosine transform (DCT) coefficients of overlapped angular patches from the normalized iris image for the purpose of feature extraction. DCT is used because it offers efficiency, it is much more practical and its basis vectors are comprised of entirely real-valued components.
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© 2011 Springer-Verlag Berlin Heidelberg
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Mulla, R., Manjrekar, A. (2011). Iris Recognition Using DCT. In: Das, V.V., Thankachan, N. (eds) Computational Intelligence and Information Technology. CIIT 2011. Communications in Computer and Information Science, vol 250. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25734-6_38
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DOI: https://doi.org/10.1007/978-3-642-25734-6_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25733-9
Online ISBN: 978-3-642-25734-6
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