Title :
Fingerprint identification software for forensic applications
Author :
Abu-Faraj, Ziad ; Abdallah, Ali ; Chebaklo, Kamal ; Khoukaz, Edouard
Author_Institution :
Dept. of Electr. & Comput. Eng., American Univ. of Beirut, Lebanon
Abstract :
Fingerprint identification is broadly established as one of the most reliable identification methods for forensic and non-forensic applications. Nevertheless, due to growth in volume of fingerprint databases, performance requirements, and speed limitations of the manual process, Automated Fingerprint Identification Systems (AFIS) are extensively needed. This paper describes the design and implementation of a cost-effective AFIS system that operates in four stages: enhancement, classification, feature extraction and matching/identification. This system has been tested on two sets of multiple fingerprint images acquired using an inked impression method. These tests have confirmed system accuracy and reliability for forensic applications
Keywords :
feature extraction; fingerprint identification; image classification; image enhancement; image matching; police data processing; automated fingerprint identification systems; classification stage; cost-effective AFIS system; enhancement stage; feature extraction stage; fingerprint identification software; forensic applications; matching/identification stage; system accuracy; system reliability; Application software; Engines; Feature extraction; Fingerprint recognition; Forensics; Image databases; Image matching; Pattern matching; Spatial databases; System testing;
Conference_Titel :
Electronics, Circuits and Systems, 2000. ICECS 2000. The 7th IEEE International Conference on
Conference_Location :
Jounieh
Print_ISBN :
0-7803-6542-9
DOI :
10.1109/ICECS.2000.911541
