Algorithm Development For Fingerprint Image Enhancement Using Wavelet Processing

ABSTRACT

Biometrics is a physical, electronic and biological means of providing dependable and accurate

identification of people. It entails data acquisition, storage and subsequent matching at points of

access or identification. Biometrics is an emerging technology that identifies people by their

physical and/or behavioral characteristics and practically requires the person to be identified to

be physically present at the point of identification. In this thesis, efforts to improve biometrics

were made in developing an algorithm that will enhance fingerprint images for effective

matching and rapid identification. The algorithm was based on wavelet processing which

employed Daubechies’ wavelets for decomposition as well as reconstruction. Wavelet smoothing

and denoising were also included in the algorithm.

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