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A SYMMETRIC BIO-HASH FUNCTION BASED ON FINGERPRINT MINUTIAE AND PRINCIPAL CURVES APPROACH

机译:基于指纹特征和主曲线方法的对称生物哈希函数

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In this paper, a fingerprint-based biometric is used and protected by a computationally efficient symmetric bio hash function and generate a digest. The extracted minutiae points from a fingerprint are represented by a fixed length code vector, called bio- minutiae fingerprint code and does not assume a pre-alignment between the test and the stored fingerprint templates. The principal curves algorithm were used to extract the minutiae points from the fingerprint, then using the systematic bio hash function to compute the digital digest. The fingerprint transformation, rotation and the error rate in case of changing the position of the fingerprint has been computed and evaluated.
机译:在本文中,使用了基于指纹的生物特征,并通过计算有效的对称生物哈希函数对其进行了保护,并生成了摘要。从指纹中提取的细节点由固定长度的代码矢量表示,称为生物细节指纹代码,并且不假定测试与存储的指纹模板之间存在预先对齐。使用主曲线算法从指纹中提取细节点,然后使用系统的生物哈希函数计算数字摘要。已经计算并评估了在改变指纹位置的情况下的指纹变换,旋转和错误率。

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