Panda, Deepti Ranjan (2007) Eye Detection Using Wavelets and ANN. BTech thesis.
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Abstract
A Biometric system provides perfect identification of individual based on a unique biological feature or characteristic possessed by a person such as finger print, hand writing, heart beat, face recognition and eye detection. Among them eye detection is a better approach since Human Eye does not change throughout the life of an individual. It is regarded as the most reliable and accurate biometric identification system available. In our project we are going to develop a system for ‘eye detection using wavelets and ANN’ with software simulation package such as matlab 7.0 tool box in order to verify the uniqueness of the human eyes and its performance as a biometric. Eye detection involves first extracting the eye from a digital face image, and then encoding the unique patterns of the eye in such a way that they can be compared with preregistered eye patterns. The eye detection system consists of an automatic segmentation system that is based on the wavelet transform, and then the Wavelet analysis is used as a pre-processor for a back propagation neural network with conjugate gradient learning. The inputs to the neural network are the wavelet maxima neighborhood coefficients of face images at a particular scale. The output of the neural network is the classification of the input into an eye or non-eye region. An accuracy of 81% is observed for test images under different environment conditions not included during training.
Item Type: | Thesis (BTech) |
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Uncontrolled Keywords: | Biometric technology, Support Vector Machines (SVMs) |
Subjects: | Engineering and Technology > Electronics and Communication Engineering > Wireless Communications Engineering and Technology > Biomedical Engineering Engineering and Technology > Electronics and Communication Engineering > Genetic Algorithm Engineering and Technology > Environmental Engineering Engineering and Technology > Electronics and Communication Engineering > Intelligent Instrumentaion Engineering and Technology > Electronics and Communication Engineering > Cryptography Engineering and Technology > Electronics and Communication Engineering > Signal Processing Engineering and Technology > Electronics and Communication Engineering > Artificial Neural Networks |
Divisions: | Engineering and Technology > Department of Electronics and Communication Engineering |
ID Code: | 54 |
Deposited By: | Anshul Baranwal |
Deposited On: | 05 May 2009 15:27 |
Last Modified: | 05 May 2009 16:06 |
Supervisor(s): | Rath, G S |
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