Efficient Biometric Indexing and Retrieval Techniques for Large-Scale Systems

Name: Efficient Biometric Indexing and Retrieval Techniques for Large-Scale Systems
Brand: Springer Nature
SKU: 9783319576596
Availability: InStock

Efficient Biometric Indexing and Retrieval Techniques for Large-Scale Systems

Brand

Springer Nature

Manufacturer

N/A

Part Number

GTIN

9783319576596

Condition

New

0 Reviews

0 Questions | 0 Answers

Product Description

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.

Available Colors

N/A

Available Sizes

Large

1 Offer Price Range: $39.99 - $39.99

BEST PRICE

Single Product Purchase

$39.99

@ Link.springer.com BUY Now

Price Comparison

Seller	Contact Seller	List Price	On Sale	Shipping	Best Promo	Final Price	Volume Discount	Financing	Availability	Seller's Page
BEST PRICE 1 Product Purchase @ Link.springer.com Rate Seller This functionality is for registered users only. Go to Login/Register		$39.99	$39.99			$39.99		See Site	In stock	Visit Store