Biological Information Acquisition Device, Biological Information Comparison Device, And Program


Ontology type: sgo:Patent     


Patent Info

DATE

2014-01-22T00:00

AUTHORS

ENDOH, TOSHIO , SHINZAKI, TAKASHI

ABSTRACT

In personal authentication using biological information, biological information is protected without degrading the authentication accuracy. An obtaining unit 311 of a biological information obtaining apparatus 301 obtains biological information for authentication, and an extracting unit 312 extracts first feature information from biological information for authentication. A generating unit 321 of a biological information collating apparatus 302 generates encrypted position correction information, and encrypted position correction information is transmitted to the biological information obtaining apparatus 301. A correcting unit 313 decrypts encrypted position correction information to obtain position correction information, and by correcting first feature information, performs alignment between first feature information and second feature information extracted from biological information for registration. A transforming unit 314 transforms corrected first feature information, and transmits transformed first feature information to the biological information collating apparatus 302. A collating unit 324 collates transformed first feature information and transformed second feature information stored in a storing unit 325, and transmits a collation result to biological information obtaining apparatus 301. More... »

Related SciGraph Publications

  • 2011-12. A survey on biometric cryptosystems and cancelable biometrics in EURASIP JOURNAL ON INFORMATION SECURITY
  • 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/2008/2746", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "name": "ENDOH, TOSHIO", 
            "type": "Person"
          }, 
          {
            "name": "SHINZAKI, TAKASHI", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1186/1687-417x-2011-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045155101", 
              "https://doi.org/10.1186/1687-417x-2011-3"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2014-01-22T00:00", 
        "description": "

    In personal authentication using biological information, biological information is protected without degrading the authentication accuracy. An obtaining unit 311 of a biological information obtaining apparatus 301 obtains biological information for authentication, and an extracting unit 312 extracts first feature information from biological information for authentication. A generating unit 321 of a biological information collating apparatus 302 generates encrypted position correction information, and encrypted position correction information is transmitted to the biological information obtaining apparatus 301. A correcting unit 313 decrypts encrypted position correction information to obtain position correction information, and by correcting first feature information, performs alignment between first feature information and second feature information extracted from biological information for registration. A transforming unit 314 transforms corrected first feature information, and transmits transformed first feature information to the biological information collating apparatus 302. A collating unit 324 collates transformed first feature information and transformed second feature information stored in a storing unit 325, and transmits a collation result to biological information obtaining apparatus 301.

    ", "id": "sg:patent.EP-2688008-A1", "keywords": [ "information acquisition", "biological information", "authentication", "extracting", "feature", "correction", "correcting", "alignment", "registration", "collating", "storing", "collation", "apparatus" ], "name": "BIOLOGICAL INFORMATION ACQUISITION DEVICE, BIOLOGICAL INFORMATION COMPARISON DEVICE, AND PROGRAM", "recipient": [ { "id": "https://www.grid.ac/institutes/grid.418251.b", "type": "Organization" } ], "sameAs": [ "https://app.dimensions.ai/details/patent/EP-2688008-A1" ], "sdDataset": "patents", "sdDatePublished": "2019-04-18T10:12", "sdLicense": "https://scigraph.springernature.com/explorer/license/", "sdPublisher": { "name": "Springer Nature - SN SciGraph project", "type": "Organization" }, "sdSource": "s3://com-uberresearch-data-patents-target-20190320-rc/data/sn-export/402f166718b70575fb5d4ffe01f064d1/0000100128-0000352499/json_export_00722.jsonl", "type": "Patent" } ]
     

    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/patent.EP-2688008-A1'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/patent.EP-2688008-A1'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/patent.EP-2688008-A1'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/patent.EP-2688008-A1'


     

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

    43 TRIPLES      15 PREDICATES      28 URIs      21 LITERALS      2 BLANK NODES

    Subject Predicate Object
    1 sg:patent.EP-2688008-A1 schema:about anzsrc-for:2746
    2 schema:author N6f1cc53bc68f4921b9c594accafc965d
    3 schema:citation sg:pub.10.1186/1687-417x-2011-3
    4 schema:datePublished 2014-01-22T00:00
    5 schema:description <p num="pa01">In personal authentication using biological information, biological information is protected without degrading the authentication accuracy. An obtaining unit 311 of a biological information obtaining apparatus 301 obtains biological information for authentication, and an extracting unit 312 extracts first feature information from biological information for authentication. A generating unit 321 of a biological information collating apparatus 302 generates encrypted position correction information, and encrypted position correction information is transmitted to the biological information obtaining apparatus 301. A correcting unit 313 decrypts encrypted position correction information to obtain position correction information, and by correcting first feature information, performs alignment between first feature information and second feature information extracted from biological information for registration. A transforming unit 314 transforms corrected first feature information, and transmits transformed first feature information to the biological information collating apparatus 302. A collating unit 324 collates transformed first feature information and transformed second feature information stored in a storing unit 325, and transmits a collation result to biological information obtaining apparatus 301.<img id="iaf01" file="imgaf001.tif" wi="78" he="118" img-content="drawing" img-format="tif"/></p>
    6 schema:keywords alignment
    7 apparatus
    8 authentication
    9 biological information
    10 collating
    11 collation
    12 correcting
    13 correction
    14 extracting
    15 feature
    16 information acquisition
    17 registration
    18 storing
    19 schema:name BIOLOGICAL INFORMATION ACQUISITION DEVICE, BIOLOGICAL INFORMATION COMPARISON DEVICE, AND PROGRAM
    20 schema:recipient https://www.grid.ac/institutes/grid.418251.b
    21 schema:sameAs https://app.dimensions.ai/details/patent/EP-2688008-A1
    22 schema:sdDatePublished 2019-04-18T10:12
    23 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    24 schema:sdPublisher Nc711f6d491a341ee99fcbe684e45a71d
    25 sgo:license sg:explorer/license/
    26 sgo:sdDataset patents
    27 rdf:type sgo:Patent
    28 N283fdb2037fa4051b1310ef60484316e schema:name ENDOH, TOSHIO
    29 rdf:type schema:Person
    30 N29bff1217d434a0c90d8f55154a132d0 schema:name SHINZAKI, TAKASHI
    31 rdf:type schema:Person
    32 N6f1cc53bc68f4921b9c594accafc965d rdf:first N283fdb2037fa4051b1310ef60484316e
    33 rdf:rest Nb69697968aaf4414a278baaadcaa87ab
    34 Nb69697968aaf4414a278baaadcaa87ab rdf:first N29bff1217d434a0c90d8f55154a132d0
    35 rdf:rest rdf:nil
    36 Nc711f6d491a341ee99fcbe684e45a71d schema:name Springer Nature - SN SciGraph project
    37 rdf:type schema:Organization
    38 anzsrc-for:2746 schema:inDefinedTermSet anzsrc-for:
    39 rdf:type schema:DefinedTerm
    40 sg:pub.10.1186/1687-417x-2011-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045155101
    41 https://doi.org/10.1186/1687-417x-2011-3
    42 rdf:type schema:CreativeWork
    43 https://www.grid.ac/institutes/grid.418251.b schema:Organization
     




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


    ...