Titlebook: Efficient Biometric Indexing and Retrieval Techniques for Large-Scale Systems; Ilaiah Kavati,Munaga V.N.K. Prasad,Chakravarthy Bh Book 201

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2191-5768 nstrates a decreased retrieval time and enhanced identificatThis work presents a review of different indexing techniques designed to enhance the speed and efficiency of searches over large biometric databases. The coverage includes an extended Delaunay triangulation-based approach for fingerprint bi

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Introduction, the search space and identifies an individual in real time with high accuracy. Many authors have presented a number of biometric indexing techniques. This chapter explores the fundamentals of biometric indexing, its challenges, classifying and benchmarking along with a number of techniques proposed by various researchers.

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Bankpolitik in traditioneller Sichtved from the index table based on the values of query index using voting scheme that takes less time. The technique has been tested on benchmark PolyU palmprint database and the results show a better performance in terms of response time and search speed compared to the state-of-the-art indexing methods.

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Introduction,s in the database. This exhaustive matching process increases the response time and the number of false matches of the system. An effective mechanism is required that reduces the number of templates to be compared with the query during identification. Biometric indexing is such technique that limits

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Hierarchical Decomposition of Extended Triangulation for Fingerprint Indexing,his exhaustive matching process increases the response time and the number of false positives of the system. This chapter presents an efficient indexing algorithm for fingerprint databases to improve the search speed and accuracy of identification. A variant of Delaunay triangulation called extended