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Implementation of Integrated Security System by Using Biometric Function in ATM Machine

机译:ATM机中使用生物识别功能实现集成安全系统

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The paper proposes an efficient approach for authentication/identffication of a valid person at ATM machine using some body parameters along with normal procedures which are currently used. Body parameters are taken through hidden camera installed in ATM and the extracted data is processed based on matching percentage with the stored data to identify/authenticate the valid person. If a person is found suspicious then appropriate action is triggered. For experimental work, two body parameters, i.e., fingerprint and face recognition have been taken to do the analysis for better result. Two databases, i.e., Olivetti Research Laboratory (ORL) face database and Extended Cohn-Kanade database (CK+) have been used in face recognition. For fingerprint analysis, stored data and test data have been compared to get the valid result. All experiments have been done in MATLAB and the result obtained by the proposed work is quite impressive.
机译:本文提出了一种有效的方法,用于使用某些车身参数以及当前使用的正常程序以及当前使用的正常程序来认证/识别ATM机的认证/识别。 身体参数通过安装在ATM中的隐藏摄像机拍摄,并且基于与存储的数据的匹配百分比处理提取的数据,以识别/验证有效的人。 如果发现一个人可疑,则触发适当的行动。 对于实验性工作,已经采取了两个身体参数,即指纹和面部识别来进行更好的结果进行分析。 两种数据库,即Olivetti Research实验室(ORL)面部数据库和扩展COHN-KANADE数据库(CK +)已被用于人脸识别。 有关指纹分析,已将存储的数据和测试数据进行比较以获得有效的结果。 所有实验都在Matlab中完成,由拟议工作获得的结果非常令人印象深刻。

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