東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Efficient biometric indexing and ret...

Kavati, Ilaiah.

Linked to FindBook

Google Book

Amazon

博客來

Efficient biometric indexing and retrieval techniques for large-scale systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Efficient biometric indexing and retrieval techniques for large-scale systems/ by Ilaiah Kavati, Munaga V.N.K. Prasad, Chakravarthy Bhagvati.
Author:	Kavati, Ilaiah.
other author:	Prasad, Munaga V.N.K.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	xvii, 67 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Hierarchical Decomposition of Extended Triangulation for Fingerprint Indexing -- An Efficient Score-Based Indexing Technique for Fast Palmprint Retrieval -- A New Cluster-Based Indexing Technique for Palmprint Databases Using Scores and Decision-Level Fusion -- Conclusions and Future Scope.
Contained By:	Springer eBooks
Subject:	Biometric identification. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-57660-2
ISBN:	9783319576602

Efficient biometric indexing and retrieval techniques for large-scale systems
Kavati, Ilaiah.

Efficient biometric indexing and retrieval techniques for large-scale systems[electronic resource] /by Ilaiah Kavati, Munaga V.N.K. Prasad, Chakravarthy Bhagvati. - Cham :Springer International Publishing :2017. - xvii, 67 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..

Introduction -- Hierarchical Decomposition of Extended Triangulation for Fingerprint Indexing -- An Efficient Score-Based Indexing Technique for Fast Palmprint Retrieval -- A New Cluster-Based Indexing Technique for Palmprint Databases Using Scores and Decision-Level Fusion -- Conclusions and Future Scope.

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.

ISBN: 9783319576602

Standard No.: 10.1007/978-3-319-57660-2doiSubjects--Topical Terms:

729691
Biometric identification.

LC Class. No.: TK7882.B56 / K38 2017

Dewey Class. No.: 006.248

Efficient biometric indexing and retrieval techniques for large-scale systems
LDR:02524nmm a2200337 a 4500 001 2100277
003 DE-He213
005 20170509163816.0
006 m d
007 cr nn 008maaau
008 180119s2017 gw s 0 eng d
020 $a 9783319576602 $q (electronic bk.)
020 $a 9783319576596 $q (paper)
024 7 $a 10.1007/978-3-319-57660-2 $2 doi
035 $a 978-3-319-57660-2
040 $a GP $c GP
041 0 $a eng
050 4 $a TK7882.B56 $b K38 2017
072 7 $a UYQP $2 bicssc
072 7 $a UYQV $2 bicssc
072 7 $a COM016000 $2 bisacsh
082 0 4 $a 006.248 $2 23
090 $a TK7882.B56 $b K21 2017
100 1 $a Kavati, Ilaiah. $3 3241796
245 1 0 $a Efficient biometric indexing and retrieval techniques for large-scale systems $h [electronic resource] / $c by Ilaiah Kavati, Munaga V.N.K. Prasad, Chakravarthy Bhagvati.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xvii, 67 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in computer science, $x 2191-5768
505 0 $a Introduction -- Hierarchical Decomposition of Extended Triangulation for Fingerprint Indexing -- An Efficient Score-Based Indexing Technique for Fast Palmprint Retrieval -- A New Cluster-Based Indexing Technique for Palmprint Databases Using Scores and Decision-Level Fusion -- Conclusions and Future Scope.
520 $a 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.
650 0 $a Biometric identification. $3 729691
650 0 $a Databases. $3 747532
650 0 $a Indexing. $3 637584
650 0 $a Information organization. $3 576263
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Biometrics. $3 898232
650 2 4 $a Security. $3 3134865
650 2 4 $a Information Storage and Retrieval. $3 761906
650 2 4 $a Special Purpose and Application-Based Systems. $3 892492
700 1 $a Prasad, Munaga V.N.K. $3 2194835
700 1 $a Bhagvati, Chakravarthy. $3 3241797
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in computer science. $3 1567571
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-57660-2
950 $a Computer Science (Springer-11645)