模糊神经网络在指纹与手形信息融合技术中的应用  

The application of fuzzy nerve net in fusion technology of information from fingerprints and the shape of hand

作　　者：秦万广[1] 杨帆[2] 刘娅静[2] 王忠礼[3] 

机构地区：[1]东北电力大学理学院 [2]河北工业大学信息工程学院 [3]北华大学信息工程学院

出　　处：《微计算机信息》2007年第25期277-278,284,共3页Control & Automation

基　　金：国家自然科学基金资助课题(60375002)

摘　　要：为解决脱皮、有伤痕等低质量指纹识别困难、识别率低及稳定性差问题。提出手形作为指纹识别的辅助手段,采用模糊神经网络的身份识别方法,将指纹和手形进行信息融合,通过仿真实验,表明此方法实用、有效,能提高系统的识别率及稳定性。可广泛应用于刑侦、金融等对安全有严格要求的领域。In order to solve the problem of difficulty, low efficiency and instability of identifying the fingerprints with inferior quality because of desquamating or scar, we bring forward the technique of utilizing the shape of hand as the subsidiary method to identify fingerprints. By introducing the method of fuzzy nerve net identification, the information of fingerprints and the shape of hand is with fusion technology. Emulational experiment shows that this technique is practical, as well as efficient. It can improve the efficiency of identification and stability of the system. This technique can be widely used in police and banking industries which have strictly high demand for safety.

关 键 词：模糊神经网络 信息融合 指纹识别 手形识别 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]