語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Segmentation and Separation of Overl...
~
Nešković, Aleksandar.
Segmentation and Separation of Overlapped Latent Fingerprints = Algorithms, Techniques, and Datasets /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Segmentation and Separation of Overlapped Latent Fingerprints/ by Branka Stojanović, Oge Marques, Aleksandar Nešković.
其他題名:
Algorithms, Techniques, and Datasets /
作者:
Stojanović, Branka.
其他作者:
Marques, Oge.
面頁冊數:
X, 51 p. 32 illus., 21 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Biometrics (Biology). -
電子資源:
https://doi.org/10.1007/978-3-030-23364-8
ISBN:
9783030233648
Segmentation and Separation of Overlapped Latent Fingerprints = Algorithms, Techniques, and Datasets /
Stojanović, Branka.
Segmentation and Separation of Overlapped Latent Fingerprints
Algorithms, Techniques, and Datasets /[electronic resource] :by Branka Stojanović, Oge Marques, Aleksandar Nešković. - 1st ed. 2019. - X, 51 p. 32 illus., 21 illus. in color.online resource. - SpringerBriefs in Computer Science,2191-5768. - SpringerBriefs in Computer Science,.
1 Latent fingerprint matching systems -- 2 Latent fingerprint datasets -- 3 Overlapped latent fingerprints segmentation: problem definition -- 4 Machine learning based segmentation of overlapped latent fingerprints -- 5 Overlapped latent fingerprints separation: problem definition -- 6 Machine learning based separation of overlapped latent fingerprints.
This Springerbrief presents an overview of problems and technologies behind segmentation and separation of overlapped latent fingerprints, which are two fundamental steps in the context of fingerprint matching systems. It addresses five main aspects: (1) the need for overlapped latent fingerprint segmentation and separation in the context of fingerprint verification systems; (2) the different datasets available for research on overlapped latent fingerprints; (3) selected algorithms and techniques for segmentation of overlapped latent fingerprints; (4) selected algorithms and techniques for separation of overlapped latent fingerprints; and (5) the use of deep learning techniques for segmentation and separation of overlapped latent fingerprints. By offering a structured overview of the most important approaches currently available, putting them in perspective, and suggesting numerous resources for further exploration, this book gives its readers a clear path for learning new topics and engaging in related research. Written from a technical perspective, and yet using language and terminology accessible to non-experts, it describes the technologies, introduces relevant datasets, highlights the most important research results in each area, and outlines the most challenging open research questions. This Springerbrief targets researchers, professionals and advanced-level students studying and working in computer science, who are interested in the field of fingerprint matching and biometrics. Readers who want to deepen their understanding of specific topics will find more than one hundred references to additional sources of related information.
ISBN: 9783030233648
Standard No.: 10.1007/978-3-030-23364-8doiSubjects--Topical Terms:
1249740
Biometrics (Biology).
LC Class. No.: QH323.5
Dewey Class. No.: 570.15195
Segmentation and Separation of Overlapped Latent Fingerprints = Algorithms, Techniques, and Datasets /
LDR
:03492nam a22004095i 4500
001
1015075
003
DE-He213
005
20200702161945.0
007
cr nn 008mamaa
008
210106s2019 gw | s |||| 0|eng d
020
$a
9783030233648
$9
978-3-030-23364-8
024
7
$a
10.1007/978-3-030-23364-8
$2
doi
035
$a
978-3-030-23364-8
050
4
$a
QH323.5
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
570.15195
$2
23
100
1
$a
Stojanović, Branka.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1309222
245
1 0
$a
Segmentation and Separation of Overlapped Latent Fingerprints
$h
[electronic resource] :
$b
Algorithms, Techniques, and Datasets /
$c
by Branka Stojanović, Oge Marques, Aleksandar Nešković.
250
$a
1st ed. 2019.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2019.
300
$a
X, 51 p. 32 illus., 21 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
SpringerBriefs in Computer Science,
$x
2191-5768
505
0
$a
1 Latent fingerprint matching systems -- 2 Latent fingerprint datasets -- 3 Overlapped latent fingerprints segmentation: problem definition -- 4 Machine learning based segmentation of overlapped latent fingerprints -- 5 Overlapped latent fingerprints separation: problem definition -- 6 Machine learning based separation of overlapped latent fingerprints.
520
$a
This Springerbrief presents an overview of problems and technologies behind segmentation and separation of overlapped latent fingerprints, which are two fundamental steps in the context of fingerprint matching systems. It addresses five main aspects: (1) the need for overlapped latent fingerprint segmentation and separation in the context of fingerprint verification systems; (2) the different datasets available for research on overlapped latent fingerprints; (3) selected algorithms and techniques for segmentation of overlapped latent fingerprints; (4) selected algorithms and techniques for separation of overlapped latent fingerprints; and (5) the use of deep learning techniques for segmentation and separation of overlapped latent fingerprints. By offering a structured overview of the most important approaches currently available, putting them in perspective, and suggesting numerous resources for further exploration, this book gives its readers a clear path for learning new topics and engaging in related research. Written from a technical perspective, and yet using language and terminology accessible to non-experts, it describes the technologies, introduces relevant datasets, highlights the most important research results in each area, and outlines the most challenging open research questions. This Springerbrief targets researchers, professionals and advanced-level students studying and working in computer science, who are interested in the field of fingerprint matching and biometrics. Readers who want to deepen their understanding of specific topics will find more than one hundred references to additional sources of related information.
650
0
$a
Biometrics (Biology).
$3
1249740
650
0
$a
Artificial intelligence.
$3
559380
650
1 4
$a
Biometrics.
$3
677095
650
2 4
$a
Artificial Intelligence.
$3
646849
700
1
$a
Marques, Oge.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
827594
700
1
$a
Nešković, Aleksandar.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1309223
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030233631
776
0 8
$i
Printed edition:
$z
9783030233655
830
0
$a
SpringerBriefs in Computer Science,
$x
2191-5768
$3
1255334
856
4 0
$u
https://doi.org/10.1007/978-3-030-23364-8
912
$a
ZDB-2-SCS
912
$a
ZDB-2-SXCS
950
$a
Computer Science (SpringerNature-11645)
950
$a
Computer Science (R0) (SpringerNature-43710)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入