17-08-2012, 05:12 PM
Implementation of fingerprint matching system using fft features
FingerPrint.pptx (Size: 158.2 KB / Downloads: 53)
Existing Solutions
Correlation based Matching : Pixel to pixel comparison
Minutiae Based Matching : Minutiae is extracted from finger print image and the coordinated of Minutiae are stored in DB for that finger print. Closing matching coordinate is the matching finger print image.
Gabor Filter based Matching : It extracts features in finger print image in different angles 0 , 45,90,145 using Gabor Filter and these features are used for comparison
Proposed Solution
fast Fourier transform (FFT) is considered and used to extract such informative features for fingerprint matching purpose.
FFT gives superior performance in finger print matching.
Steps in Proposed
FFT Feature extraction is the important step before that enhancement , binzarization, thinning are done to remove all noises in the original image.
Implementation
The image is done preprocessing steps like distortion reduction , enhancement, binarization and Thinning.
FFT features are extracted and stored .
All these routines are implemented in Matlab R7.