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10 Jan 2013 ... Collections.Generic;; using System.IO;; namespace PdfUtils; {; /// <summary> Helper class to extract images from a PDF file. Works with the most ...

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The check bits are stored into the helper data along with the hashed value of the ppended template The authors targeted a 10% bit error rate for iris images, and they suggested using multiple images on enrollment and veri cation to reduce this error rate by majority coding No speci c implementation details, such as which ECC to use, were given The problem with this approach is that the check bits reveal some information about the biometric template Consider the following example: A 55-bit template is encoded into 255-bit codeword using (255, 55) BCH ECC According to Davida et al, there will be (255 55) = 200 check bits stored into the helper data The BCH code can correct up to 31 random errors, which is only 31/255 = 122% of all bits Note that most biometrics usually have a higher error rate.

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Even though the template size, k = 55, is larger than the number of correctable random errors, an attacker can run the ECC decoder in the erasure mode, which can correct up to 2 31 = 62 errors (the error locations, ie, the rst 55 bits, are known) In other words, the stored check bits allow the complete reconstruction of the template without actually capturing a fresh biometric sample, meaning that the scheme would not have any security Perhaps to address this issue, the authors put a requirement n < 2k However, such an ECC would not be powerful enough for most biometrics, since even for iris images, a realistic bit error rate is about 25% [36, 31], and it does not decrease signi cantly when multiple images are used (as Davida et al had hoped).

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Even if n < 2k, the search space still can be reduced by soft decoding Therefore, we deem this scheme inherently not secure and impractical Consider the following example: A 55-bit template is encoded into 255-bit codeword using (255 55) BCH ECC According to Davida et al, there will be (255 55) = 200 check bits stored into the helper data The BCH code can correct up to 31 random errors, which is only 31/255 = 122% of all bits Note that most biometrics usually have a higher error rate Even though the template size, k = 55, is larger than the number of correctable random errors, an attacker can run the ECC decoder in the erasure mode, which can correct up to 2 31 = 62 errors (the error locations, ie, the rst 55 bits, are known).

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In other words, the stored check bits allow the complete reconstruction of the template without actually capturing a fresh biometric sample, meaning that the scheme would not have any security Perhaps to address this issue, the authors put a requirement n < 2k However, such an ECC would not be powerful enough for most biometrics, since even for iris images, a realistic bit error rate is about 25% [36, 31], and it does not decrease signi cantly when multiple images are used (as Davida et al had hoped) Even if n < 2k, the search space still can be reduced by soft decoding Therefore, we deem this scheme inherently not secure and impractical net winforms control to generate, create barcode image in net winforms applicationsRelated: .

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C# tutorial: extract images from a PDF file
In this C# tutorial you will learn to extract images from a PDF file by using iTextSharp library.

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