Titlebook: Iris Biometrics; From Segmentation to Christian Rathgeb,Andreas Uhl,Peter Wild Book 2013 Springer Science+Business Media, LLC 2013 Biometri

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Iris Segmentation MethodologiesTraditional iris processing following Daugman’s approach [116] extracts binary features after mapping the textural area between inner pupillary and outer limbic boundary into a doubly dimensionless representation.

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Multi-stage Real-Time Iris PreprocessingMotivated by the growing demand for real-time capable solutions, this chapter presents in detail a multistage approach to iris segmentation [541, 540]

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Iris Biometric Cryptosystems. [69]. The majority of biometric cryptosystems require the storage of biometric-dependent public information applied to retrieve or generate keys which is referred to as helper data [228]. Due to biometric variance it is not feasible for most biometric characteristics to extract cryptographic keys directly.

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WatermarkingIn the first section of this chapter, the general relation between watermarking and biometrics is discussed in detail. The second section provides a systematic and critical view of the work done on applying watermarking to enhance biometric systems.

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Experiments on Biometric ComparatorsInvestigated issues comprise the accuracy of each comparator, computational requirements compared to the baseline technique using HD with applied bit-shifting to account for rotational alignment, as well as related questions. More specifically, the distribution of reliable bits or trade-offs between recognition accuracy and speed is evaluated.

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Potential Attacksdentifies security threats against biometric systems and possible countermeasures [449] and discusses man-in-the-middle attacks and BioPhishing against a web-based biometric authentication system [606].

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Christian Rathgeb,Andreas Uhl,Peter WildProvides detailed analysis and discussions regarding issues and challenges which are rarely investigated within common literature, e.g. watermarking, image segmentation, compression and template prote

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