Title :
Fingerprint identification with LVQ
Author :
Khuwaja, Gulzar A.
Author_Institution :
Dept. of Phys., Kuwait Univ., Safat, Kuwait
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;
Conference_Titel :
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN :
981-04-7524-1
DOI :
10.1109/ICONIP.2002.1198199
