DocumentCode
3440883
Title
Fingerprint identification with LVQ
Author
Khuwaja, Gulzar A.
Author_Institution
Dept. of Phys., Kuwait Univ., Safat, Kuwait
Volume
2
fYear
2002
fDate
18-22 Nov. 2002
Firstpage
940
Abstract
Biometrics, which refers to identifying an individual based on his or her physiological or behavioral characteristics, has the capability to reliably distinguish between an authorized person and an imposter. This paper presents a high speed and low cost system for identification of fingerprints based on adaptive learning vector quantization neural network. The inkless images are acquired for this purpose using a digital still camera.
Keywords
fingerprint identification; image recognition; learning (artificial intelligence); neural nets; real-time systems; vector quantisation; adaptive learning; biometrics; fingerprint identification; inkless images; learning vector quantization; online identification; vector quantization neural network; Biometrics; Costs; Digital cameras; Fingerprint recognition; Image matching; Neural networks; Neurons; Physics; Prototypes; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN
981-04-7524-1
Type
conf
DOI
10.1109/ICONIP.2002.1198199
Filename
1198199
Link To Document