Iris Recognition Using Discrete Cosine Transform and Artificial Neural Networks
نویسندگان
چکیده
منابع مشابه
Iris Recognition Using Discrete Cosine Transform and Artificial Neural Networks
Problem 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 v...
متن کاملIris 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 Discrete Cosine Transform and Relational Measures
Iris is one of the most currently used biometric trait as it has random discriminating texture which does not change over a person’s lifetime. It is unique for all individuals, even for twins and the left and right eyes of the same individual. This paper describes an iris recognition system which includes phases like segmentation, normalization, segregating unwanted parts like occlusion, specul...
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 کاملFace Recognition System using Discrete Cosine Transform combined with MLP and RBF Neural Networks
Proposed is an efficient face recognition algorithm using the discrete cosine transform DCT Technique for reducing dimensionality and image parameterization. These DCT coefficients are examined by a MLP (Multi-Layer Perceptron) and radial basis function RBF neural networks. Their purpose is to present a face recognition system that is a combination of discrete cosine transform (DCT) algorithm w...
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: Journal of Computer Science
سال: 2009
ISSN: 1549-3636
DOI: 10.3844/jcssp.2009.369.373