基于数据隐藏方案的可取消虹膜生物识别

Bismita Choudhury, P. Then, V. Raman, B. Issac, M. K. Haldar
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引用次数: 13

摘要

可取消生物识别是一种模板保护方案,可以替换被盗或丢失的生物识别模板。与原始的生物识别模板不同,Cancelable生物识别存储了修改后的生物识别模板。本文提出了一种基于隐写技术的虹膜可取消生物识别方案。结合霍夫曼编码和离散余弦变换,给出了一种不可逆变换函数。在隐写术中,主要采用霍夫曼编码和DCT相结合的方法来隐藏封面图像中的秘密图像。这种组合被认为是一种强大的不可逆变换,在这种变换中,不可能从stego图像中提取出精确的秘密图像。因此,从stego图像中检索精确的原始图像几乎是不可能的。提出的不可逆变换函数将秘密图像的霍夫曼编码码流嵌入到虹膜纹理的DCT系数中,生成变换模板。该方法不可能从转换后的虹膜模板中重新生成原始虹膜模板,具有很高的安全性。在本文中,我们还改进了分割和归一化过程。
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Cancelable iris Biometrics based on data hiding schemes
The Cancelable Biometrics is a template protection scheme that can replace a stolen or lost biometric template. Instead of the original biometric template, Cancelable biometrics stores a modified version of the biometric template. In this paper, we have proposed a Cancelable biometrics scheme for Iris based on the Steganographic technique. This paper presents a non-invertible transformation function by combining Huffman Encoding and Discrete Cosine Transformation (DCT). The combination of Huffman Encoding and DCT is basically used in steganography to conceal a secret image in a cover image. This combination is considered as one of the powerful non-invertible transformation where it is not possible to extract the exact secret image from the Stego-image. Therefore, retrieving the exact original image from the Stego-image is nearly impossible. The proposed non-invertible transformation function embeds the Huffman encoded bit-stream of a secret image in the DCT coefficients of the iris texture to generate the transformed template. This novel method provides very high security as it is not possible to regenerate the original iris template from the transformed (stego) iris template. In this paper, we have also improved the segmentation and normalization process.
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