Reference points play important role in the field of fingerprint recognition. It is mainly used for fingerprint classification and fingerprint matching. There are many methods proposed for fingerprint reference point detection like Poincare Index technique, Direction curvature technique etc. The purpose of this paper is to detect the reference points considering the uncertainty for imperfection...

Fingerprint orientation plays important roles in fingerprint enhancement, fingerprint classification, and fingerprint recognition. This paper critically reviews the primary advances on fingerprint orientation estimation. Advantages and limitations of existing methods have been addressed. Issues on future development have been discussed. Copyright © 2010 John Wiley & Sons, Ltd.

Amandeep Kaur1, Ameeta2, Babita3 Department of ECE, PCET, Lalru Mandi. PTU Jalandhar, Punjab Asst. Professor, Department of ECE, PCET, Lalru Mandi. PTU Jalandhar, Punjab 3 Asst. Professor,Department of Computer Science and Engineering , PCET, Lalru Mandi PTU Jalandhar, Punjab Email:[email protected] Abstract—A fingerprint is the feature pattern of one finger. It is believed with strong ev...

Naturally, with the mounting application of biometric systems, there arises a difficulty in storing and handling those acquired biometric data. Fingerprint recognition has been recognized as one of the most mature and established technique among all the biometrics systems. In recent times, with fingerprint recognition receiving increasingly more attention the amount of fingerprints collected ha...

Fingerprint Verification is the most reliable and feasible methods of person identification. The only problem with functionality of Fingerprint Verification System is: it depends on the quality of image. The quality of fingerprint image affects by both environment and scanner’s-surface. The Fingerprint Minutiae-Matching is not possible until the quality of fingerprint image improve. The limitat...

Fingerprint has continued to enjoy dominance over other biometrics like face, iris, nose, signature among others in human verification and authentication. This is promoted by its major characteristics which include availability, uniqueness, consistency and reliability. Fingerprint verification and authentication involves the serial stages of enrolment, processing and matching. Enrolment through...

ÐFingerprint identification is based on two basic premises: 1) persistence: the basic characteristics of fingerprints do not change with time and 2) individuality: the fingerprint is unique to an individual. The validity of the first premise has been established by the anatomy and morphogenesis of friction ridge skin. While the second premise has been generally accepted to be true based on empi...

Fingerprint images vary in quality. In order to ensure that the performance of an automatic fingerprint identification system (AFIS) will be robust with respect to the quality of input fingerprint images, it is essential to incorporate a fingerprint enhancement module in the AFIS system. In this paper, we introduce a new fingerprint enhancement algorithm which decomposes the input fingerprint i...

Fingerprint enhancement algorithm is used to improve the clarity of ridges and valleys of input fingerprint images. These kind of algorithm make them more suitable for the minutiae extraction algorithm. The ultimate criterion for evaluating such an enhancement algorithm is the total amount of “quality” improvement when the algorithm is applied to the noisy input fingerprint images. There are va...

Existing fingerprint segmentation methods usually process fingerprint images captured by different sensors with the same feature or feature set. We propose to improve the fingerprint segmentation result in view of an important fact that images from different sensors have different characteristics for segmentation. Feature usability evaluation, which means to evaluate the usability of features t...