Correction to "DCT-Based Iris Recognition"
نویسندگان
چکیده
منابع مشابه
Evaluation of the Parameters Involved in the Iris Recognition System
Biometric recognition is an automatic identification method which is based on unique features or characteristics possessed by human beings and Iris recognition has proved itself as one of the most reliable biometric methods available owing to the accuracy provided by its unique epigenetic patterns. The main steps in any iris recognition system are image acquisition, iris segmentation, iris norm...
متن کاملInvestigation and Analysis of Hough-DCT- Hamming Distance Based Method of Iris Recognition
As we know that iris recognition is widely used biometric identification system. This system is having growing future in the area of security. In the real time security systems we need to have reliable, efficient, faster iris recognition system. Iris recognition process is consisting of iris segmentation, normalization, localization as well as matching techniques. And hence the performance of t...
متن کاملIris recognition and feature extraction in iris recognition System by employing 2D DCT
---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Biometric system is a reliable and highly accurate system for identification of individuals. Iris recognition system is a relatively new biometric system which produces better results in comparison with other biometric systems. The work presented i...
متن کاملA Fast Localization and Feature Extraction Method Based on Wavelet Transform in Iris Recognition
With an increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention. Iris recognition, as an emerging biometric recognition approach, is becoming a very active topic in both research and practical applications. In general, a typical iris recognition system includes iris imaging, iris liveness detection, and recognition. This rese...
متن کاملMultiple Classifier Based Iris Recognition System
. This paper devoted to an iris recognition system (IRS) designed using 2D-Discrete Cosine Transform (DCT) features and Self Organizing Map (SOM) and Radial Basis Function (RBF) which are an Artificial Neural Network (ANN) used as classifier. DCT is used for feature extraction to capture essential details. SOM and RBF are applied for classification with different functional paradigms. With resp...
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عنوان ژورنال:
- IEEE Trans. Pattern Anal. Mach. Intell.
دوره 29 شماره
صفحات -
تاریخ انتشار 2007