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 ...

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...

The performance of a fingerprint feature extraction and matching algorithm depend heavily upon the quality of the input fingerprint image. While the ‘quality’ of a fingerprint image cannot be objectively measured, it roughly corresponds to the the clarity of the ridge structure in the fingerprint image. A ‘good’ quality fingerprint image has high contrast and well defined ridges and valleys. A ...

Recently, a cryptographic construct, called fuzzy vault, has been proposed for crypto-biometric systems, and some implementations for fingerprint have been reported to protect the stored fingerprint template by hiding the fingerprint features, i.e., adding “chaff” minutiae into the original minutiae set. Also, solutions to the most challenging issue in applying the fuzzy vault to fingerprint(i....

Automatic fingerprint recognition has been broadly useful as a personal identification device owing their reliability and uniqueness features. Fingerprints are most promising common and trusted biometric for personal identification. Fingerprint Classification is an important sub-problem for the automatic fingerprint identification system (AFIS) and automatic fingerprint recognition system (AFRS...

This paper crime scenes forensics and law enforcement is (latent fingerprint matching) techniques. In crime scenes and forensics Latent fingerprint identifying is an important latent fingerprint is poor quality image cannot easy to extract. It is matching latent fingerprint image it is necessary to extract features for efficient to improve the matching accuracy. The different latent matching al...

Fingerprint image segmentation is part of pre-processing in fingerprint image recognition system. It has a critical effect to the fingerprint image recognition system. Regardless of years of research in the area of general purpose image segmentation, it is still a very challenging task. A new image decomposition scheme, called the Adaptive and Orientation algorithm, is proposed to achieve effec...