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Finally the problem of the selection of chaff points, avoiding that the attacker get enabled to distinguish between chaff and real points, has been considered by Chang and Li [31]. Some bounds on the entropy loss have also been introduced. . 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Barcode In Visual Studio .NET Using Barcode maker for .Related: Create Data Matrix C# , Generate Codabar Java , Print PDF417 VB.NET However, since errors are unavoidable in biometrics, the result of the XOR will differ from the correct codeword Here the ECC decoder comes into play: If the number of errors is not too large, the ECC can correct all the errors and obtain the original codeword Since the codewords are deterministically mapped to 140-bit keys, the correct 140-bit key will be retrieved If, on the other hand, the number of errors exceeds the ECC s capability, the decoder will declare a failure Therefore, the output of BE algorithm is either a key or a failure message Ideally, the failure should be output for an impostor only; however, it could happen for a legitimate user as well that is, the system could have a false rejection, as in conventional biometrics As we can see, in the case of BE the ECC replaces a simple threshold-based Yes/No scheme of conventional biometrics. Designing a good (2048, 140) ECC for BE is itself a serious technological challenge, since the error rate for a biometric template is usually high Hao et al [31] used a combination of Hadamard (aka 1st order Reed Muller) and Reed Solomon ECCs Normally, a block ECC corrects up to 25% of errors in a hard decoding mode, which would be 511 errors in our example However, the authors ran the Reed Muller ECC in a soft decoding mode (ie, the decoder always outputs the nearest codeword, even in the case of possible failure), which allowed it to achieve better error-correcting capabilities To make sure that the algorithm always outputs the correct key (eg, in the soft decoding mode the ECC may output any key), a hashed value of the key is stored into the helper data, as shown in Figure 263. 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