Title :
Neural Network Based Automatic Fingerprints Classification Algorithm
Author :
Li Xiangrong ; Wang Guohui ; Lu Xiangjiang
Author_Institution :
Dept. of Arms Eng., Acad. of Armored Force Eng., Beijing, China
Abstract :
It Presented one neural network based automatic fingerprints classification algorithm. Fingerprint features extracted through resolving directed graph are input into neural network to be classified. Weight coefficients of network connection are studied and optimized based on the genetic algorithm. Test results show that its performance is excellent and the total accurate classification rate reaches up to 93.12%. Research in the paper is significant to fingerprint identifications applied in large-scale information security authentication systems such as bank saving network system and network exchange system.
Keywords :
banking; directed graphs; feature extraction; fingerprint identification; genetic algorithms; message authentication; neural nets; pattern classification; automatic fingerprints classification algorithm; bank saving network system; directed graph; fingerprint features extraction; genetic algorithm; large-scale information security authentication systems; network connection weight coefficients; network exchange system; neural network; Algorithm design and analysis; Artificial neural networks; Classification algorithms; Feature extraction; Fingerprint recognition; Image matching; Information security; automatic classification algorithm; fingerprint identification; neural network;
Conference_Titel :
Information Science and Management Engineering (ISME), 2010 International Conference of
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-7669-5
Electronic_ISBN :
978-1-4244-7670-1
DOI :
10.1109/ISME.2010.187
