Iris Segmentation and Recognition Using Circular Hough Transform and Wavelet Features
نویسنده
چکیده
Iris patterns have been proven to be unique for each individual making them useful in human identification. Segmentation and feature extraction are crucial steps in matching one iris image with another. In this paper, iris segmentation is performed using Canny edge detection and the circular Hough transform. To overcome the pupil-iris center offset as well as iris stretching due to pupil dilation, the segmented iris is transformed to normalized polor coordinates using Daugman’s rubber sheet model. Finally, the mapped iris image is broken down into sub-bands using 3rd level wavelet decomposition. The edge information in the 3rd level bands are combined and thresholded to create iris code that can be used for matching. A match is found by comparing iris code to a database. The smallest Hamming distance between the subject iris code and the database iris code is considered the match.
منابع مشابه
Robust Iris Recognition in Unconstrained Environments
A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by him/her. Iris recognition (IR) is known to be the most reliable and accurate biometric identification system. The iris recognition system (IRS) consists of an automatic segmentation mechanism which is based on the Hough transform (HT). This paper presents a robust IRS i...
متن کاملIris localization by means of adaptive thresholding and Circular Hough Transform
In this paper, a new iris localization method for mobile devices is presented. Our system uses both intensity and saturation threshold on the captured eye images to determine iris boundary and sclera area, respectively. Estimated iris boundary pixels which have been placed outside the sclera will be removed. The remaining pixels are mainly the boundary of iris inside the sclera. Then, circular ...
متن کاملEvaluation 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 کاملImproved FAR and FRR using Wavelet Transform in Iris Recognition System
Iris recognition is emerging as one of the important methods of biometrics-based identification system. It consists of five major steps iris acquisition, segmentation, normalization, feature extraction and matching. In this work, we used Wavelet transform function in place of Hough transform function. After extraction of feature of iris used feature optimizations technique for better selection ...
متن کاملNeural Network Based Matching Approach for Iris Recognition
Iris recognition has been considered as one of the most reliable biometrics technologies in recent years due to its high reliability in person identification. In this paper, an iris recognition system has been proposed. The recognition system relies on four fundamental steps. The first step consists of iris localization using Circular Hough Transform (CHT). In the subsequent step, image is norm...
متن کامل