Log-Gabor Orientation with Run-Length Code based Fingerprint Feature Extraction Approach

Abstract

This paper aims to design and implement Log-Gabor filtering with Run-length Code based feature Extraction technique Since minutiae extraction is an essential and core process of fingerprint Identification and Authentication systems the minutiae features are enhanced in each orientation using Log-Gabor filter and features are extracted using the proposed method Frequency domain is derived using FFT and they are enhanced by Log-Gabor filter for each orientation In our method six orientations are considered binarization thinning are also followed Fingerprint features are extracted using proposed method which possesses labeling and Run-length Coding technique Our method is tested with the benchmark Databases and real time images and the results show the better performance and lower error rate