FEATURE VECTOR CONSTRUCTION METHOD FOR IRIS RECOGNITION
نویسندگان
چکیده
منابع مشابه
A 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 کاملFeature Extraction for Iris Recognition
In this paper, we evaluate the performance of feature extraction methods for iris pattern classification. Generally, the identification system using iris recognition consists of the iris localization block and the iris pattern classification block. In this paper, we used the 2D bisection-based Hough transform and the radius histogram method for the iris localization and we used multilayer perce...
متن کاملFeature Selection Method for Iris Recognition Authentication System
Iris-based biometric authentication is gaining importance in recent times. Iris biometric processing however, is a complex process and computationally very expensive. In the overall processing of iris biometric in an iris-based biometric authentication system, feature selection is an important task. In feature selection, we ex-tract iris features, which are ultimately used in matching. Since th...
متن کاملA Novel and Efficient Feature Extraction Method for Iris Recognition
Jong-Gook Ko et al. 399 ABSTRACT⎯With a growing emphasis on human identification, iris recognition has recently received increasing attention. Iris recognition includes eye imaging, iris segmentation, verification, and so on. In this letter, we propose a novel and efficient iris recognition method which employs a cumulative-sum-based grey change analysis. Experimental results demonstrate that t...
متن کاملEfficient Iris Recognition through Improvement of Feature Vector and Classifier
Shinyoung Lim et al. 61 In this paper, we propose an efficient method for personal identification by analyzing iris patterns that have a high level of stability and distinctiveness. To improve the efficiency and accuracy of the proposed system, we present a new approach to making a feature vector compact and efficient by using wavelet transform, and two straightforward but efficient mechanisms ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2017
ISSN: 2194-9034
DOI: 10.5194/isprs-archives-xlii-2-w4-233-2017