Neural Network Based Automatic Fingerprints Classification Algorithm

摘要：

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.

关键词： fingerprint identification automatic classification algorithm neural network

作者: LI Xiangrong WANG Guohui LU Xiangjiang

作者单位: Department of Arms Engineering Academy of Armored Force Engineering Beijing 100072 China School of Mechano-Electronics Beijing Institute of Technology Beijing 100081 China

会议类型: 国际会议

会议名称: 2010 International Conference of Informationa Science and Management Engineering(2010年信息科学与管理工程国际学术会议 ISME 2010)

会议地点: 西安

会议语种:英文

页码: 94-96

在线出版日期: 2010-08-07（万方平台首次上网日期，不代表论文的发表时间）