Human Iris Recognition using Wavelet Transform and Neural Network
نویسندگان
چکیده
منابع مشابه
Iris Recognition Using Wavelet Transform and Artificial Neural Networks
In this approach to get more accuracy of the iris recognition, is composed of many steps: capturing the iris image, determining the location of the iris boundaries, normalization, preprocessed using median filter to remove noise, using wavelet transform for two types of filter, Haar and Daubechies (db4), in order to extract the features and finally using the matching by artificial feed forward ...
متن کاملIris Recognition using Lifting Wavelet Transform
With an increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention over the past decade. Iris recognition, as an emerging biometric recognition approach has become a major research topic with practical applications in recent years as it promises nearly perfect recognition rates. In this paper, we present a novel, efficient appro...
متن کاملRobust face recognition using wavelet transform and autoassociative neural network
In this paper, an efficient face recognition system using wavelet transform (WT) and modular autoassociative neural network (AANN) is proposed. WT, which has superior feature representation capability in multiresolution space and also less sensitive to noise and variation to lighting condition, is used to extract the features. The AANN which perform identity mapping of input space is used to ca...
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 کاملIris Recognition Using Discrete Cosine Transform and Wavelet Packet Decomposition
Iris recognition is basic technology for personal identification and verification and is most reliable and accurate for biometric identification system. Iris recognition system gives security to the organization and Institutes from the unauthorized access . Digital templates encoded from iris pattern using mathematical and statistical algorithms allow the identification of an individual. In thi...
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: International Journal of Fuzzy Logic and Intelligent Systems
سال: 2003
ISSN: 1598-2645
DOI: 10.5391/ijfis.2003.3.2.178