Abstract: Finger print verification system is the most trustable biometric system in the world. However, finger print matching, especially when the finger print images have low quality or when the matching is performed cross-sensors, is still an open research. The main problem in automatic finger print identification is to acquire reliable features from finger print image with poor quality. So there is a urgent need for finger print image enhancement and Feature extraction. This project proposes a method for finger print image enhancement and feature extraction for low quality finger prints. This project provides a adaptive fingerprint image enhancement method which automatically adjust with parameters based on the input finger print image. The pre-processing method includes global and local analysis for better enhancement. The contrast can be enhanced to provide better visual enhancement using SMQT method. The input low quality fingerprint image should be enhanced and finally it would be segmented in to a binarized mode using Gabor filter. The feature extraction is done using fixed templates. The main modules on the project are Pre-processing using Adaptive Finger Enhancement (AFE), Ridge Segmentation and Feature extraction. This paper can be helpful to increase the verification accuracy on AFIS(Automatic Fingerprint Identification System).
Keywords: Adaptive Finger Enhancement (AFE), Gabor filter, AFIS, SMQT.
Title: FINGERPRINT IMAGE ENHANCEMENT AND FEATURE EXTRACTION USING AFE, GABOR FILTER AND FIXED TEMPLATES
Author: Mrs. G. Sangeetha Lakshmi, Ms. A.Sivasankari, Ms.V.Punitha
International Journal of Computer Science and Information Technology Research
ISSN 2348-120X (online), ISSN 2348-1196 (print)
Research Publish Journals
