Method to Enhance Features of Biometrics Security Management and Fingerprint Identification Using Low-Quality Images

Abstract

Fingerprint identification becomes the most well-known biometric system in nowadays. The system uses special fingerprint points called miniature which is unique for every person. Many systems have been used for various algorithms to do their identification process. Low-quality fingerprints are an unavoidable problem which occurs due to various reasons such as deformations of the skin and dryness. This research proposes a set of algorithms and provides a suitable solution for problems occurred by low-quality fingerprint images. Miniature marking use triplets, segmentation using morphological operations were used as the novel changes in this system. The novel triplet miniature method solved the alignment problem, which is a significant factor in extracting miniatures. The standard methods of Gabor filter was used for the image filtering. The proposed system, coded using MATLAB was successfully implemented and working same as other recognition systems.