A Study on the Impact of Wavelet Decomposition on Face Recognition Methods

Provided by: International Journal of Computer Applications
Topic: Security
Format: PDF
Face recognition is a very powerful tool for a biometric authentication. It is the ability to identify person based on his facial characteristics. Face recognition is the important field of pattern recognition. Discrete Wavelet Transform, (DWT), is known as a very powerful tool in the field of image processing, which extracts the feature vector to determine the performance of face recognition system. However, there are different decomposition levels of DWT. In this paper different decomposition levels of DWT integrated with a lot of good feature extraction methods are examined.

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