Adaptive Fingerprint Binarization by Frequency Domain Analysis

Abstract

Abstract-This paper presents a new approach for fingerprint enhancement by using directional filters and binarization. A straightforward method for automatically tuning the size of local area is obtained by analyzing entire fingerprint image in the frequency domain. Hence, the algorithm will adjust adaptively to the local area of the fingerprint image, independent on the characteristics of the fingerprint sensor or the physical appearance of the fingerprints. Frequency analysis is carried out in the local areas to design directional filters. Experimental results are presented.

Improved Adaptive Fingerprint Binarization

“…Fig. 6 b) and c) illustrates the original results from the previously proposed algorithm [3]. In Fig.…”

“…In previous work; these drawbacks ware addressed by proposing a novel binarization algorithm [3]. The new method is an entirely automated process adjusting itself to each fingerprint.…”

Adaptive Fingerprint Image Enhancement With Emphasis on Preprocessing of Data

“…3) The magnitude of the dominant spectral peak acts as an indicator of the quality of the fingerprint in that particular local area [11] (see Fig. 10).…”

“…This article extends an existing adaptive fingerprint en- hancement system (presented in [11], [12]) by incorporating new processing blocks to construct an improved novel system. The proposed fingerprint enhancement method is based on spatial contextual filtering using matched directional filters.…”

3D minutiae extraction in 3D fingerprint scans.

“…Bartunek et al [33] presents an approach for binarization using frequency domain. A method is developed for automatically determining the proper size of the local area which is obtained by analyzing the entire fingerprint image in the frequency domain.…”