| Abstrakt: |
The purpose of this study is to improve the accuracy of biometric recognition systems by utilising innovative wavelet transform techniques as opposed to the more traditional Fourier Transform Technique. There are going to be two different teams working on this project. The Fourier Transform Technique is used for group 1, and the Novel Wavelet Transform Technique is used for group 2. Both groups have a sample size of 50. A matrix biometric database is combed through to obtain a sample of one hundred different scanned fingerprints. Using the MATLAB (R2017a) software tool, the values of accuracy are calculated to identify the performance of the novel wavelet transform technique. This is done with the help of image processing and also with image processing. Both the false acceptance ratio and the accuracy of the novel wavelet transform technique were found to be 2% and 82%, respectively, while those values for the fourier transform technique were found to be 6% and 76%, respectively. This value, 0.8, is derived from the G power. When compared to the fourier transform technique, it was found that the innovative wavelet transform method performed significantly better. The significance value p is greater than 0.05 but less than 0. In terms of accuracy, it would appear that the recently developed wavelet transform technique is a significant improvement upon its predecessor, the fourier transform technique. [ABSTRACT FROM AUTHOR] |
