Efficient Biometric Indexing and Retrieval Techniques for Large-Scale Systems (SpringerBriefs in Computer Science)

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keywords:bachelor of science computer science,of computer science,of computer science,of computer science,be computer science,

This 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 biometrics, involving a classification based on the type of minutiae at the vertices of each triangle.
This classification is demonstrated to provide improved partitioning of the database, leading to a significant decrease in the number of potential matches during identification. This discussion is then followed by a description of a second indexing technique, which sorts biometric images based on match scores calculated against a set of pre-selected sample images, resulting in a rapid search regardless of the size of the database. The text also examines a novel clustering-based approach to indexing with decision-level fusion, using an adaptive clustering algorithm to compute a set of clusters represented by a leader image, and then determining the index code from the set of leaders. This is shown to improve identification performance while using minimal resources.

keywords:bachelor of science computer science,of computer science,of computer science,of computer science,be computer science,

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eBook Details:
Category: Computer Science
Author: Ilaiah Kavati
Language: English
ISBN10: 3319576593
ISBN13: 9783319576596
Pages: 67
PubDate: 2017-06-08 00:00:00
UploadDate: 5/10/2017 12:10:07 am

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