Fingerprints are the most widely used biometric feature for person identification and verification in the field of biometric identification. Fingerprints possess two main types of features that are used for automatic fingerprint identification and verification: (i) global ridge and furrow structure that forms a special pattern in the central region of the fingerprint and (ii) Minutiae details a...

Based on analyzing and experimenting a large number of the existing fingerprint image preprocessing algorithm, this paper presents a novel high-quality fingerprint image preprocessing algorithm. Taking full account of the inherent characteristics of the fingerprint image, the algorithm arranges overall features and local detail. The experiments show that it is a simple, efficient algorithm whic...

A fingerprint recognizing system is built with two principal components: the fingerprint administrator and the fingerprint recognizer. Fingerprints are identified by their special features such as ridge endings, ridge bifurcation, short ridges, and ridge enclosures, which are collectively called the minutiae. It explains the finger print characteristics that are used to identify individuals and...

Fingerprint classification provides an important indexing mechanism in a fingerprint database. Accurate and consistent classification can greatly reduce fingerprint-matching time and computational complexity for a large database as the input fingerprint needs to be matched only with a subset of the fingerprint database. Classification into six major categories (whorl, right loop, left loop, twi...

A new feature for fingerprint images is introduced. This new feature is named as Distance Vector. A Distance Vector counts the minutiae points in each row of a particular fingerprint image. A Distance Vector is associated with every fingerprint in the database. At the time of enrollment this feature is stored with the concerned fingerprint and at the time of matching this feature is matched wit...

The use of fingerprint in biometric identification has been the most widely used authentication system. The uniqueness of the fingerprint for every human provides us with all we need for faultless identification. However, during the fingerprint scanning process, the image generated by the scanner may be slightly different during each scan. This paper puts the implementation of Artificial Neural...

With the boom of information technology represented by computers since the 1960s, computer technology has begun to be used in the fingerprint identification field, bringing new thoughts, implementation methods, and processing approaches for automated fingerprint identification. Authorities, institutions, and universities have begun implementing fingerprint analysis and processing using computer...

A new reference point for fingerprint recognition called a focal point is proposed. The focal point is an expected focus of curved ridges of fingerprint images. The focal point is designed as a center of moment in polar coordinate for the fingerprint matching method. The focal point for any type of fingerprint images can be identified and tested with various orientation, elastic distortion and ...

AIM We tested the hypothesis that administrations of methanolic extracts of Musa sapientum sucker (MEMS) with exercises attenuated hyperglycemia in alloxan-diabetic rats. MATERIALS AND METHODS A total of 40 adult male rats were divided into equal eight groups. Normoglycemic Group A was Control. Alloxan (180 mg/kg, i.p.) was administered to rats in Groups B - H to induce diabetes. Group B (dia...

Fingerprint recognition systems are widely used in the field of biometrics. Many existing fingerprint sensors acquire fingerprint images as the user’s fingerprint is contacted on a solid flat sensor. Because of this contact, input images from the same finger can be quite different and there are latent fingerprint issues that can lead to forgery and hygienic problems. For these reasons, a touchl...