Multimodal Biometrics: Topics in Score Fusion View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2009

AUTHORS

Luis Puente , M. Jesús Poza , Juan Miguel Gómez , Diego Carrero

ABSTRACT

This paper describes how the last cutting-edge advances in Computational Intelligence are being applied to the field of biometric security. We analyze multimodal identification systems and particularly the score fusion technique and some issues related with it. Fundamentally, the paper deals with the scores normalization problem in depth, which is one of the most critical issues with a dramatic impact on the final performance of multibiometric systems. Authors show in this paper the results obtained using a number of fusion algorithms (Neural Networks, SVM, Weighted Sum, etc.) on the scores generated with three independent monomodal biometric systems (the modalities are Iris, Signature and Voice). The paper shows the behavior of the most popular score normalization techniques (z-norm, tanh, MAD, etc), and proposes a new score normalization procedure with an optimized performance harnessing tested fusion techniques and outperforming previous results through a proof-of-concept implementation. More... »

PAGES

155-162

Book

TITLE

Computational Intelligence in Security for Information Systems

ISBN

978-3-642-04090-0
978-3-642-04091-7

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-04091-7_19

DOI

http://dx.doi.org/10.1007/978-3-642-04091-7_19

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1006027378


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Carlos III University of Madrid", 
          "id": "https://www.grid.ac/institutes/grid.7840.b", 
          "name": [
            "Universidad Carlos III de Madrid, Avda Universidad, 30., 28911\u00a0Legan\u00e9s, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Puente", 
        "givenName": "Luis", 
        "id": "sg:person.013702771755.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013702771755.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Carlos III University of Madrid", 
          "id": "https://www.grid.ac/institutes/grid.7840.b", 
          "name": [
            "Universidad Carlos III de Madrid, Avda Universidad, 30., 28911\u00a0Legan\u00e9s, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Poza", 
        "givenName": "M. Jes\u00fas", 
        "id": "sg:person.015122571245.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015122571245.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Carlos III University of Madrid", 
          "id": "https://www.grid.ac/institutes/grid.7840.b", 
          "name": [
            "Universidad Carlos III de Madrid, Avda Universidad, 30., 28911\u00a0Legan\u00e9s, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "G\u00f3mez", 
        "givenName": "Juan Miguel", 
        "id": "sg:person.014065273523.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014065273523.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Carlos III University of Madrid", 
          "id": "https://www.grid.ac/institutes/grid.7840.b", 
          "name": [
            "Universidad Carlos III de Madrid, Avda Universidad, 30., 28911\u00a0Legan\u00e9s, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Carrero", 
        "givenName": "Diego", 
        "id": "sg:person.010610041445.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010610041445.86"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0167-8655(03)00079-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053386059"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0167-8655(03)00079-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053386059"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0031-3203(04)00297-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054599379"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1049/ip-vis:20031078", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056860889"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/34.368145", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061156094"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/34.667881", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061156743"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/eurcon.2007.4400309", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093422291"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/ccst.2007.4373463", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095076232"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2009", 
    "datePublishedReg": "2009-01-01", 
    "description": "This paper describes how the last cutting-edge advances in Computational Intelligence are being applied to the field of biometric security. We analyze multimodal identification systems and particularly the score fusion technique and some issues related with it. Fundamentally, the paper deals with the scores normalization problem in depth, which is one of the most critical issues with a dramatic impact on the final performance of multibiometric systems. Authors show in this paper the results obtained using a number of fusion algorithms (Neural Networks, SVM, Weighted Sum, etc.) on the scores generated with three independent monomodal biometric systems (the modalities are Iris, Signature and Voice). The paper shows the behavior of the most popular score normalization techniques (z-norm, tanh, MAD, etc), and proposes a new score normalization procedure with an optimized performance harnessing tested fusion techniques and outperforming previous results through a proof-of-concept implementation.", 
    "editor": [
      {
        "familyName": "Herrero", 
        "givenName": "\u00c1lvaro", 
        "type": "Person"
      }, 
      {
        "familyName": "Gastaldo", 
        "givenName": "Paolo", 
        "type": "Person"
      }, 
      {
        "familyName": "Zunino", 
        "givenName": "Rodolfo", 
        "type": "Person"
      }, 
      {
        "familyName": "Corchado", 
        "givenName": "Emilio", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-04091-7_19", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-642-04090-0", 
        "978-3-642-04091-7"
      ], 
      "name": "Computational Intelligence in Security for Information Systems", 
      "type": "Book"
    }, 
    "name": "Multimodal Biometrics: Topics in Score Fusion", 
    "pagination": "155-162", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-04091-7_19"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "1cb613eb34cfb9e7e3ff8ded62150180e6899203d55fbecc5ebad1ea6f2bfb09"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1006027378"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-04091-7_19", 
      "https://app.dimensions.ai/details/publication/pub.1006027378"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T21:56", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8693_00000246.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-3-642-04091-7_19"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-04091-7_19'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-04091-7_19'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-04091-7_19'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-04091-7_19'


 

This table displays all metadata directly associated to this object as RDF triples.

122 TRIPLES      23 PREDICATES      34 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-04091-7_19 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author N474f5d58077845709e347b903f889d52
4 schema:citation https://doi.org/10.1016/s0031-3203(04)00297-3
5 https://doi.org/10.1016/s0167-8655(03)00079-5
6 https://doi.org/10.1049/ip-vis:20031078
7 https://doi.org/10.1109/34.368145
8 https://doi.org/10.1109/34.667881
9 https://doi.org/10.1109/ccst.2007.4373463
10 https://doi.org/10.1109/eurcon.2007.4400309
11 schema:datePublished 2009
12 schema:datePublishedReg 2009-01-01
13 schema:description This paper describes how the last cutting-edge advances in Computational Intelligence are being applied to the field of biometric security. We analyze multimodal identification systems and particularly the score fusion technique and some issues related with it. Fundamentally, the paper deals with the scores normalization problem in depth, which is one of the most critical issues with a dramatic impact on the final performance of multibiometric systems. Authors show in this paper the results obtained using a number of fusion algorithms (Neural Networks, SVM, Weighted Sum, etc.) on the scores generated with three independent monomodal biometric systems (the modalities are Iris, Signature and Voice). The paper shows the behavior of the most popular score normalization techniques (z-norm, tanh, MAD, etc), and proposes a new score normalization procedure with an optimized performance harnessing tested fusion techniques and outperforming previous results through a proof-of-concept implementation.
14 schema:editor N2f30dc2f5d8b4bc1bee768d8e035b0d4
15 schema:genre chapter
16 schema:inLanguage en
17 schema:isAccessibleForFree false
18 schema:isPartOf N4cf4cad6dd1242a985eb3f6fd12eacf0
19 schema:name Multimodal Biometrics: Topics in Score Fusion
20 schema:pagination 155-162
21 schema:productId N3ec04eb028fc4a0e9f5d2844d6e4205f
22 N8b657cceb3d94549a8b004b3c76b658b
23 Ndb6ad28dc7ac4ebfad778c43949ba5a7
24 schema:publisher N22feecb15a9949ba907d11d7c6aa2987
25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006027378
26 https://doi.org/10.1007/978-3-642-04091-7_19
27 schema:sdDatePublished 2019-04-15T21:56
28 schema:sdLicense https://scigraph.springernature.com/explorer/license/
29 schema:sdPublisher N35c441d17298415ca0b6ea0827df5ada
30 schema:url http://link.springer.com/10.1007/978-3-642-04091-7_19
31 sgo:license sg:explorer/license/
32 sgo:sdDataset chapters
33 rdf:type schema:Chapter
34 N08e6555e635c4595ae8b0b7e57ca88aa schema:familyName Corchado
35 schema:givenName Emilio
36 rdf:type schema:Person
37 N0a1e0481ed9a4795a363639a4b6b21df rdf:first N2dd187eb65ff49f7846d5f2b85115b09
38 rdf:rest N33da6bf59bfc4adaad5a213af23b1fec
39 N208c2c92990a4dbf956204033af7bd8d rdf:first sg:person.015122571245.27
40 rdf:rest Ne63dd1fede0b4565bff1b450038df975
41 N22feecb15a9949ba907d11d7c6aa2987 schema:location Berlin, Heidelberg
42 schema:name Springer Berlin Heidelberg
43 rdf:type schema:Organisation
44 N2dd187eb65ff49f7846d5f2b85115b09 schema:familyName Zunino
45 schema:givenName Rodolfo
46 rdf:type schema:Person
47 N2f30dc2f5d8b4bc1bee768d8e035b0d4 rdf:first Ne10cd82f76f6427b8c07ced67ccfba30
48 rdf:rest N45d71f73f3764fd48e26fc1e9d8486bc
49 N33da6bf59bfc4adaad5a213af23b1fec rdf:first N08e6555e635c4595ae8b0b7e57ca88aa
50 rdf:rest rdf:nil
51 N35c441d17298415ca0b6ea0827df5ada schema:name Springer Nature - SN SciGraph project
52 rdf:type schema:Organization
53 N3ec04eb028fc4a0e9f5d2844d6e4205f schema:name readcube_id
54 schema:value 1cb613eb34cfb9e7e3ff8ded62150180e6899203d55fbecc5ebad1ea6f2bfb09
55 rdf:type schema:PropertyValue
56 N45d71f73f3764fd48e26fc1e9d8486bc rdf:first Ne2f4b5973bc34256ac9b5d9749d46326
57 rdf:rest N0a1e0481ed9a4795a363639a4b6b21df
58 N474f5d58077845709e347b903f889d52 rdf:first sg:person.013702771755.11
59 rdf:rest N208c2c92990a4dbf956204033af7bd8d
60 N4cf4cad6dd1242a985eb3f6fd12eacf0 schema:isbn 978-3-642-04090-0
61 978-3-642-04091-7
62 schema:name Computational Intelligence in Security for Information Systems
63 rdf:type schema:Book
64 N66a2f69f1428412890c173a165c02aaf rdf:first sg:person.010610041445.86
65 rdf:rest rdf:nil
66 N8b657cceb3d94549a8b004b3c76b658b schema:name doi
67 schema:value 10.1007/978-3-642-04091-7_19
68 rdf:type schema:PropertyValue
69 Ndb6ad28dc7ac4ebfad778c43949ba5a7 schema:name dimensions_id
70 schema:value pub.1006027378
71 rdf:type schema:PropertyValue
72 Ne10cd82f76f6427b8c07ced67ccfba30 schema:familyName Herrero
73 schema:givenName Álvaro
74 rdf:type schema:Person
75 Ne2f4b5973bc34256ac9b5d9749d46326 schema:familyName Gastaldo
76 schema:givenName Paolo
77 rdf:type schema:Person
78 Ne63dd1fede0b4565bff1b450038df975 rdf:first sg:person.014065273523.17
79 rdf:rest N66a2f69f1428412890c173a165c02aaf
80 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
81 schema:name Information and Computing Sciences
82 rdf:type schema:DefinedTerm
83 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
84 schema:name Artificial Intelligence and Image Processing
85 rdf:type schema:DefinedTerm
86 sg:person.010610041445.86 schema:affiliation https://www.grid.ac/institutes/grid.7840.b
87 schema:familyName Carrero
88 schema:givenName Diego
89 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010610041445.86
90 rdf:type schema:Person
91 sg:person.013702771755.11 schema:affiliation https://www.grid.ac/institutes/grid.7840.b
92 schema:familyName Puente
93 schema:givenName Luis
94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013702771755.11
95 rdf:type schema:Person
96 sg:person.014065273523.17 schema:affiliation https://www.grid.ac/institutes/grid.7840.b
97 schema:familyName Gómez
98 schema:givenName Juan Miguel
99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014065273523.17
100 rdf:type schema:Person
101 sg:person.015122571245.27 schema:affiliation https://www.grid.ac/institutes/grid.7840.b
102 schema:familyName Poza
103 schema:givenName M. Jesús
104 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015122571245.27
105 rdf:type schema:Person
106 https://doi.org/10.1016/s0031-3203(04)00297-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054599379
107 rdf:type schema:CreativeWork
108 https://doi.org/10.1016/s0167-8655(03)00079-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053386059
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1049/ip-vis:20031078 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056860889
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1109/34.368145 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061156094
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1109/34.667881 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061156743
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1109/ccst.2007.4373463 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095076232
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1109/eurcon.2007.4400309 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093422291
119 rdf:type schema:CreativeWork
120 https://www.grid.ac/institutes/grid.7840.b schema:alternateName Carlos III University of Madrid
121 schema:name Universidad Carlos III de Madrid, Avda Universidad, 30., 28911 Leganés, Madrid, Spain
122 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...