Fingerprint analysis is a well-known biometrics for person identification and authentication.
Computer vision based fingerprint recognition systems follow different preprocessing steps …

Fingerprint recognition have gain great attentiveness in the world of biometric. The
performance of this system is become worst if the image quality is not good. Pre-processing …

An efficient method for binarization of the fingerprint images is presented in this paper. The
algorithm is based on the fact that the fingerprint ridges are regions where the second …

Some of the current approaches to fingerprint image binarization are investigated. The
importance of the binarization phase of processing as it relates to the identification of …

This paper presents a novel approach for fingerprint binarization. The motivation is to
simulate the human exercise that distinguishes ridges from valleys in uniform areas. An …

The long history of fingerprint, their extensive use in forensics and with need of automatic
personal identification in recent years, fingerprints is receiving a lot of attention. There is …

Two critical steps in fingerprint recognition are binarization and thinning of the image. The
need for real-time processing led us to local adaptive thresholding approach for the …

Two critical steps in fingerprint recognition are binarization and thinning of the image. The
need for real time processing motivates us to select local adaptive thresholding approach for …

In this paper, we propose a concavity and convexity enhancement method as a new method
of binarization for preprocessing of fingerprint authentication. Recently, due to the increased …