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Design of Novel System for Face and Fingerprint Recognition

机译:面部与指纹识别新系统设计

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摘要

The proposed work is implemented to overcome the drawbacks of traditional work. In this, two biometric parameters are used for the purpose of securing the system from spoofing attacks. The face and fingerprint biometric traits are used and then PCA (principal component analysis) is used for extracting the features of fingerprint images and LBP (Local Binary Pattern) is used for the purpose of extracting the features of facial images. Then the extracted features are used to apply the Encryption in order to secure them from spoofing. After applying encryption, the features are converted into decrypted format. Then at the time of testing the feature matching will be done only if the private key for decrypting the data is available. After decryption the matching of the features will be performed. Hence in this way proposed work provides high security to the data by applying the concept of RSA cryptography.
机译:拟议的工作得到实施,以克服传统工作的弊端。 在此,用于保护系统免于欺骗攻击的两个生物识别参数。 使用面部和指纹生物识别性状,然后使用PCA(主成分分析)来提取指纹图像的特征,并且LBP(局部二进制图案)用于提取面部图像的特征。 然后,提取的特征用于应用加密,以便将它们免于欺骗。 应用加密后,要将功能转换为解密格式。 然后,在测试时,只有在用于解密数据的私钥时,才会完成功能匹配。 解密后,将执行特征的匹配。 因此,通过这种方式,所提出的工作通过应用RSA密码学的概念为数据提供高安全性。

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