4 results for “CASIA database”

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Research ArticleOpen accessIn the keywordsIris Recognition Using Discrete Cosine Transform and Artificial Neural NetworksAhmad M. SarhanProblem statement: The 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 … …Journal of Computer Science, Vol. 5, Issue 5 · 30 May 2009 · 7,751 accessesView PDF Cite

Research ArticleOpen accessIn the abstractHuman Iris Recognition Based on Hybrid TechniqueAsaad Noori Hashim, Bushraa Mahdi Al-HashimiIris recognition is a biometric technique that uses iris pattern information to detect person identification. Initially, the system find out the boundary of the pupil and iris. Then, Circular Hough transform used to find out the center of both pupil and iris in order to crop iris part from the eye image. After that, Daugman’s Rubber Sheet model utilized for … …Journal of Computer Science, Vol. 15, Issue 12 · 4 Dec 2019 · 7,802 accessesView PDF Cite

Research ArticleOpen accessIn the abstractPrincipal Component Analysis Based Feature Extraction, Morphological Edge Detection and Localization for Fast Iris RecognitionM. Suganthy, P. RamamoorthyThis study involves the Iris Localization based on morphological or set theory which is well in shape detection. Principal Component Analysis (PCA) is used for preprocessing, in which the removal of redundant and unwanted data is done. Applications such as Median Filtering and Adaptive thresholding are used for handling the variations in lighting and noise. Features are extracted using Wavelet … …Journal of Computer Science, Vol. 8, Issue 9 · 9 Aug 2012 · 7,748 accessesView PDF Cite

Research ArticleOpen accessIn the abstractIris Recognition Without Iris NormalizationLenina Birgale, M. KokareProblem statement: In any real time biometric system processing speed and recognition time are crucial parameters. Reducing processing time involves many parameters like normalization, FAR, FRR, management of eyelid and eyelash occlusions, size of signature etc. Normalization consumes substantial amount of time of the system. This study contributes for improved iris recognition system with reduced processing time, False Acceptance Rate … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 7,807 accessesView PDF Cite