Comparative Insight in to Wavelet Transform and Contourlet Transform for Iris Recognition Systems
نویسندگان
چکیده
Human iris recognition is one of the prominent type of biometric identification system. Iris recognition systems use texture modeling for the segmentation and classification of iris images. Texture modeling is an active research field and different techniques have been exhaustively studied for this purpose, including wavelet transform. However, due to the limited capability for capturing directional information of wavelet transform, it falls short of desired results for image analysis. More recently, contour transform is being studied to improve image analysis techniques for iris recognition systems. This paper provides an analytical insight in to why the contour transform is more suitable than wavelet transform for the purpose of iris recognition systems. Keywords—wavelet tranform; contourlet transform; iris recognition systems
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