Fingerprint image quality affects heavily the performance of fingerprint recognition systems. This paper reviews existing approaches for fingerprint image quality computation. We also implement, test and compare a selection of them using the MCYT database including 9000 fingerprint images. Experimental results show that most of the algorithms behave similarly.

Novel Approach for Fingerprint Recognition Using Sparse Representation Rohit Thanki PhD Research Scholar, Faculty of Technology & Engineering, C U Shah University, Wadhwan City Email: [email protected] Komal Borisagar Assistant Professor, Department of Electronics & Communication, Atmiya Institute of Technology & Science, Rajkot Email: [email protected] ------------------------------...

Fraudulent use of stolen fingerprint data and privacy invasion by tracking individuals unlawfully with shared or stolen fingerprint data justify the significance of fingerprint template protection. With no a priori fingerprint image registration, alignment-free cancelable fingerprint templates do not suffer from inaccurate singular point detection. In this paper, we propose an effective alignme...

Fingerprint recognition is one of the research hotspots of biometrics techniques. Fingerprints are the most widely used biometric feature for identification and verification in the field of biometrics. [1]. The traditional fingerprint recognition systems have such disadvantages as high computation complexity, low speed, low recognition rate to uncompleted or defiled fingerprints, and not robust...

Most of the automatic fingerprint verification systems are based on minutiae pattern matching. The accuracy of the system depends on the quality and location of minutiae. Most of the time, the quality of the ridges in the fingerprint image is not well defined. This leads to failure of precise location of minutiae. Hence, it is essential to get distinct ridges from the fingerprint images. The or...

This paper proposes an internet-based personal identity verification system using lossless data hiding and fingerprint recognition technologies. At the client side, the SHA-256 hash of the original fingerprint image and sensitive personal information are encrypted and embedded into the fingerprint image using an advanced lossless data hiding scheme. At the service provider side, after the hidde...

This paper introduced fingerprint recognition to protect USB Key’s pin number. Pin number is easily stolen and sometimes it’s too hard to keep in mind. To overcome these problems, a fingerprint key based USB Key pin number protection system has been proposed. Using biometric like fingerprint to protect USB Key pin number improves security and convenience of users. And the fingerprint key is gen...

Fingerprint segmentation is a crucial and important step of image processing in automatic fingerprint identification. Because, it is very important for alright fingerprint features extraction, such as, singular points, bifurcation and ridge ending minutia’s. The aim of the segmentation of fingerprint is to extract the interest area (foreground) and to exclude the background regions, in order to...

One of the most important areas in fingerprint biometrics is matching partial fingerprints in fingerprint databases. Recently, significant progress has been made in designing fingerprint identification systems for missing fingerprint information. However, the precise reconstruction of fingerprint images still remains challenging due to the complexity and the ill-posed nature of the problem. Thi...