Fingerprint Minutiae Matching using Region of Interest
نویسندگان
چکیده
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 limitation of image processing is that it can only interact with pixel values but not with location of pixels (i.e. Minutiae Points). The only solution to this problem is to select Region of Interest (ROI). In this paper, an effectual Fingerprint Verification System is presented based on ROI. The objective of the research is to study ROI based Fingerprint Minutiae Matching. Keywords— Fingerprint, Fingerprint Recognition, Histogram Equalization, Binarization, Thinning, Region of Interest, Minutiae Marking.
منابع مشابه
Fingerprint Matching using Ridge and Minutiae Features
Fingerprint authentication is the most consistent and practicable methods of person appreciation. The only problem with functionality of Fingerprint authentication System is it depends on the eminence of image. The quality of fingerprint image affects by both surroundings and scanner’s-surface. The Fingerprint Trivia-Matching is not possible until the eminence of fingerprint image improve. The ...
متن کاملFingerprint image: pre- and post-processing
Automatic Fingerprint Identification Systems (AFIS) are widely used for personal identification due to uniqueness of fingerprints. Minutiaebased fingerprint matching techniques are normally used for fingerprint matching. Fingerprint matching results and their accuracy depends on presence of valid minutiae. In this paper, we present a new technique for fingerprint image post-processing. This pos...
متن کاملFingerprint matching using minutiae and texture features
The advent of solid-state fingerprint sensors presents a fresh challenge to traditional fingerprint matching algorithms. These sensors provide a small contact area ( 0:6" 0:6") for the fingertip and, therefore, sense only a limited portion of the fingerprint. Thus multiple impressions of the same fingerprint may have only a small region of overlap. Minutiaebased matching algorithms, which consi...
متن کاملA Coarse to Fine Minutiae-Based Latent Palm print Matching and fusion
In this paper, a coarse to fine matching strategy based on minutiae clustering and minutiae match propagation is designed specifically for palmprint matching and to deal with the large database and local feature-based minutiae clustering algorithm is designed to cluster minutiae into several groups such that minutiae belonging to the same group have similar local characteristics. The proposed p...
متن کاملFingerprint Identification and Verification System using Minutiae Matching
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...
متن کامل