國立高雄大學圖資館 |

Language: English

Back

Contactless 3D fingerprint identific...

Kumar, Ajay.

Contactless 3D fingerprint identification

Record Type:	Electronic resources : Monograph/item
Title/Author:	Contactless 3D fingerprint identificationby Ajay Kumar.
Author:	Kumar, Ajay.
Published:	Cham :Springer International Publishing :2018.
Description:	x, 123 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	FingerprintsIdentification
Online resource:	https://doi.org/10.1007/978-3-319-67681-4
ISBN:	9783319676814$q(electronic bk.)

Contactless 3D fingerprint identification
Kumar, Ajay.

Contactless 3D fingerprint identification[electronic resource] /by Ajay Kumar. - Cham :Springer International Publishing :2018. - x, 123 p. :ill., digital ;24 cm. - Advances in computer vision and pattern recognition,2191-6586. - Advances in computer vision and pattern recognition..

Introduction to Trends in Fingerprint Identification -- 3D Fingerprint Image Acquisition Methods -- Contactless and Live 3D Fingerprint Imaging -- 3D Fingerprint Acquisition Using Colored Photometric Stereo -- 3D Fingerprint Image Preprocessing and Enhancement -- Representation, Recovery and Matching of 3D Minutiae Template -- Other Methods of 3D Fingerprint Matching -- Individuality of 3D Fingerprints.

This important text/reference presents the first dedicated review of techniques for contactless 3D fingerprint identification, including novel and previously unpublished research. The text provides a systematic introduction to 3D fingerprint identification, covering the latest advancements in contactless 2D and 3D sensing technologies, and detailed discussions on each key aspect in the development of an effective 3D fingerprint identification system. Topics and features: Introduces the key concepts and trends in the acquisition and identification of fingerprint images, and a range of 3D fingerprint imaging techniques Proposes a low-cost method for online 3D fingerprint image acquisition, and an efficient 3D fingerprint imaging approach using coloured photometric stereo Describes pre-processing operations on point cloud 3D fingerprint data, and explains the specialized operations for reconstructing 3D fingerprints from live finger scans Examines the representation of minutiae in 3D space, providing details on recovering these features from point cloud data, and on matching such 3D minutiae templates Reviews various 3D fingerprint matching methods, including binary surface code-based approaches and a tetrahedron-based matching approach Discusses the uniqueness of 3D fingerprints, evaluating the benefits of employing 3D fingerprint identification over conventional 2D fingerprint techniques This unique work is a must-read for all researchers seeking to make further advances in this area, towards the exciting opportunities afforded by contactless 3D fingerprint identification for improving the hygiene, user convenience, and matching accuracy of fingerprint biometric technologies. Dr. Ajay Kumar is an Associate Professor in the Department of Computing at the Hong Kong Polytechnic University. He has previously served as an Assistant Professor at the Department of Electrical Engineering, IIT Delhi. He is a Fellow of IEEE and IAPR. His other publications include the Springer title Deep Learning for Biometrics.

ISBN: 9783319676814$q(electronic bk.)

Standard No.: 10.1007/978-3-319-67681-4doiSubjects--Topical Terms:

824593
Fingerprints
--Identification

LC Class. No.: GN192

Dewey Class. No.: 006.2483998

Contactless 3D fingerprint identification
LDR:03483nmm a2200349 a 4500 001 545592
003 DE-He213
005 20181029151014.0
006 m d
007 cr nn 008maaau
008 190530s2018 gw s 0 eng d
020 $a 9783319676814$q(electronic bk.)
020 $a 9783319676807$q(paper)
024 7 $a 10.1007/978-3-319-67681-4 $2 doi
035 $a 978-3-319-67681-4
040 $a GP $c GP
041 0 $a eng
050 4 $a GN192
072 7 $a UYQP $2 bicssc
072 7 $a COM016000 $2 bisacsh
072 7 $a UYQP $2 thema
072 7 $a UYQV $2 thema
082 0 4 $a 006.2483998 $2 23
090 $a GN192 $b .K96 2018
100 1 $a Kumar, Ajay. $3 484984
245 1 0 $a Contactless 3D fingerprint identification $h [electronic resource] / $c by Ajay Kumar.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a x, 123 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in computer vision and pattern recognition, $x 2191-6586
505 0 $a Introduction to Trends in Fingerprint Identification -- 3D Fingerprint Image Acquisition Methods -- Contactless and Live 3D Fingerprint Imaging -- 3D Fingerprint Acquisition Using Colored Photometric Stereo -- 3D Fingerprint Image Preprocessing and Enhancement -- Representation, Recovery and Matching of 3D Minutiae Template -- Other Methods of 3D Fingerprint Matching -- Individuality of 3D Fingerprints.
520 $a This important text/reference presents the first dedicated review of techniques for contactless 3D fingerprint identification, including novel and previously unpublished research. The text provides a systematic introduction to 3D fingerprint identification, covering the latest advancements in contactless 2D and 3D sensing technologies, and detailed discussions on each key aspect in the development of an effective 3D fingerprint identification system. Topics and features: Introduces the key concepts and trends in the acquisition and identification of fingerprint images, and a range of 3D fingerprint imaging techniques Proposes a low-cost method for online 3D fingerprint image acquisition, and an efficient 3D fingerprint imaging approach using coloured photometric stereo Describes pre-processing operations on point cloud 3D fingerprint data, and explains the specialized operations for reconstructing 3D fingerprints from live finger scans Examines the representation of minutiae in 3D space, providing details on recovering these features from point cloud data, and on matching such 3D minutiae templates Reviews various 3D fingerprint matching methods, including binary surface code-based approaches and a tetrahedron-based matching approach Discusses the uniqueness of 3D fingerprints, evaluating the benefits of employing 3D fingerprint identification over conventional 2D fingerprint techniques This unique work is a must-read for all researchers seeking to make further advances in this area, towards the exciting opportunities afforded by contactless 3D fingerprint identification for improving the hygiene, user convenience, and matching accuracy of fingerprint biometric technologies. Dr. Ajay Kumar is an Associate Professor in the Department of Computing at the Hong Kong Polytechnic University. He has previously served as an Assistant Professor at the Department of Electrical Engineering, IIT Delhi. He is a Fellow of IEEE and IAPR. His other publications include the Springer title Deep Learning for Biometrics.
650 0 $a Fingerprints $x Identification $x Technological innovations. $3 824593
650 1 4 $a Biometrics. $3 274525
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Legal Aspects of Computing. $3 276398
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Advances in computer vision and pattern recognition. $3 559645
856 4 0 $u https://doi.org/10.1007/978-3-319-67681-4
950 $a Computer Science (Springer-11645)