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首页> 外文期刊>International Journal of Mineral Processing and Extractive Metallurgy >Accurate Personal Identification Using Left and Right Palmprint Images Based on ANFIS Approach
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Accurate Personal Identification Using Left and Right Palmprint Images Based on ANFIS Approach

机译:基于ANFIS方法的左右手掌图像进行准确的个人识别

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The aim of present research work on palmprint recognition using discrete wavelet packet transform (DWPT) algorithm for feature extraction & ANFIS (Adaptive Neuro-Fuzzy Inference System) for palmprint matching. Biometrics based fingerprint, face, iris recognition has been investigated over many year. Palmprint recognition is an emerging technology in recent years due to the transaction frauds, security breaches and personal identification etc. compare to fingerprint, palmprint contain rich features like, principle line, wrinkles, ridges, and minute points, and it provides high standard security. This paper developing multibiometrics using left and right palmprint images and gives higher accuracy then single biometrics system. Registered IITD palmprint database is collected from IIT Delhi, biometric research library. It consist 2600 images from both left and right hand. This experiment perform palmprint recognition for enhance security using IITD database. MATLAB have been used as the programming tool to implement and investigate the performance of the segmentation and feature extraction method using image processing toolbox.
机译:本研究的目的是使用离散小波包变换(DWPT)算法进行特征提取和ANFIS(自适应神经模糊推理系统)进行掌纹匹配,进行掌纹识别。基于生物识别技术的指纹,面部,虹膜识别已经研究了很多年。掌纹识别是近年来由于交易欺诈,安全漏洞和个人识别等原因而出现的一种新兴技术。与指纹相比,掌纹具有丰富的功能,如主线,皱纹,起伏和微缩点,并提供高标准的安全性。本文使用左右掌印图像开发多生物计量学,并且比单一生物计量学系统具有更高的准确性。已注册的IITD掌纹数据库是从IIT Delhi(生物特征研究图书馆)收集的。它包含左右两张2600张图像。该实验使用IITD数据库执行掌纹识别以增强安全性。 MATLAB已被用作编程工具,以利用图像处理工具箱来实现和研究分割和特征提取方法的性能。

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