![]() In the recognition mode, the biometric data are re-acquired from the sensor and compared to the stored data to determine the user identity. In the enrolment mode, the biometric data are acquired from the sensor and stored in a database along with the person’s identity for the recognition. ![]() The fingerprint recognition system is one of the widely used biometric authentication systems, the biometric authentication system based on two modes: Enrolment and Recognition. Commonly used biometric traits include fingerprint, face, iris, hand geometry, voice, palm print, and handwritten signatures. Biometric recognition is the science of establishing the identity of a person using his/her anatomical and behavioral traits. Surrogate representations of identity such as passwords and ID cards are not sufficient for reliable identity determination because they can be easily misplaced, shared, or stolen. A threshold has been proposed and used to provide the rejection for the fingerprint images that does not belong to the database and the experimental results show that the KNN technique have a recognition rate equal to 93.9683% in a threshold equal to 70%.Įstablishing the identity of a person is a critical task in any identity management system. In addition, the matching results were calculated and compared to other papers using some performance evaluation factors. Also, for the matching the KNN neural network was used. After that core point and candidate core points are extracted for each Fingerprint image and feature vector have been extracted for each point using filterbank_based algorithm. An efficient image enhancement algorithm is used to improve the clarity (contrast) of the ridge structures in a fingerprint. The designed system is implemented using Matlab 2015b and tested on a set of fingerprint images gathered from 90 different persons with 8 samples for each using Futronic’s FS80 USB2.0 Fingerprint Scanner and the ftrScanApiEx.exe program. The aim of this paper is to present a proposed authentication system based on fingerprint as biometric type, which is capable of recognizing persons with high level of confidence and minimum error rate. Fingerprint identification and recognition are considered popular technique in many security and law enforcement applications.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |