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Open CV pattern based smart bank security system with theft identification using Android

机译:基于Android的基于CV模式的开放式具有盗窃和身份识别功能的智能银行安全系统

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Authentication is a major problem experienced by an individual in their daily activities especially in banking system. The security provided by bank systems has some backdoors, which are improved by using other techniques like the pattern recognition comparing these existing traits, there is still need for considerable computer vision. Pattern recognition is a particular type of biometric system that can be used to analyze the obtained information and identify the user uniquely by the stored pattern produced in the OPEN CV image processing used in the security systems. In this proposed system the pattern is collected in the form of dataset, stored and is maintained in the bank's server. A camera is in build in the machine which captures the data and relay the data for processing features of the logic was compared and user where recognized. In addition to the authentication of user there is another system to identify the user before that RFID tag checking is Password entry through mobile phone is needed for another level of security. This can be done by using Bluetooth and also authentication is checked by verification through UIN number.
机译:认证是个人在日常活动中尤其是在银行系统中遇到的主要问题。银行系统提供的安全性有一些后门,可以通过使用其他技术(例如比较这些现有特征的模式识别)来提高这些后门,但仍然需要相当多的计算机视觉。模式识别是一种特殊类型的生物识别系统,可用于分析获取的信息并通过在安全系统中使用的OPEN CV图像处理中生成的存储模式来唯一标识用户。在这个提出的系统中,模式以数据集的形式收集,存储并维护在银行的服务器中。机器中内置了一个摄像头,该摄像头捕获数据并中继数据以比较逻辑的功能,并在用户识别的位置进行处理。除了对用户进行身份验证之外,还有另一种系统可以在RFID标签检查之前确定用户身份,以便通过另一种安全级别通过移动电话输入密码。这可以通过使用蓝牙来完成,还可以通过UIN编号的验证来检查身份验证。

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