International Journal on Document Analysis and Recognition (IJDAR) View Homepage


Ontology type: schema:Periodical     


Journal Info

START YEAR

1998

PUBLISHER

Springer Berlin Heidelberg

LANGUAGE

en

HOMEPAGE

http://link.springer.com/journal/10032

Recent publications latest 20 shown

  • 2019-04-05 Bleed-through cancellation in non-rigidly misaligned recto–verso archival manuscripts based on local registration
  • 2019-03-27 Scene text detection and recognition with advances in deep learning: a survey
  • 2019-03-19 The achievement of higher flexibility in multiple-choice-based tests using image classification techniques
  • 2019-03-18 Real-time Kinect-based air-writing system with a novel analytical classifier
  • 2019-03-14 Metro maps for efficient knowledge learning by summarizing massive electronic textbooks
  • 2019-03-02 Plug-and-play approach to class-adapted blind image deblurring
  • 2019-03 An improved discriminative region selection methodology for online handwriting recognition
  • 2019-03 Online signature verification based on string edit distance
  • 2019-03 A comparative study of delayed stroke handling approaches in online handwriting
  • 2019-03 A framework for information extraction from tables in biomedical literature
  • 2019-03 Stroke order normalization for improving recognition of online handwritten mathematical expressions
  • 2018-12 A combined strategy of analysis for the localization of heterogeneous form fields in ancient pre-printed records
  • 2018-12 Building efficient CNN architecture for offline handwritten Chinese character recognition
  • 2018-12 KERTAS: dataset for automatic dating of ancient Arabic manuscripts
  • 2018-12 Augmented incremental recognition of online handwritten mathematical expressions
  • 2018-12 A comprehensive study of hybrid neural network hidden Markov model for offline handwritten Chinese text recognition
  • 2018-09 Special issue on deep learning for document analysis and recognition
  • 2018-09 Attribute CNNs for word spotting in handwritten documents
  • 2018-07-02 Integrating scattering feature maps with convolutional neural networks for Malayalam handwritten character recognition
  • 2018-06-09 Learning to detect, localize and recognize many text objects in document images from few examples
  • 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://scigraph.springernature.com/ontologies/product-market-codes/I22021", 
            "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
            "name": "Image Processing and Computer Vision", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://scigraph.springernature.com/ontologies/product-market-codes/I2203X", 
            "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
            "name": "Pattern Recognition", 
            "type": "DefinedTerm"
          }
        ], 
        "contentRating": [
          {
            "author": "snip", 
            "ratingValue": "1.629", 
            "type": "Rating"
          }, 
          {
            "author": "sjr", 
            "ratingValue": "0.456", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2017", 
            "ratingValue": "1.298", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2016", 
            "ratingValue": "0.902", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2015", 
            "ratingValue": "0.885", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2014", 
            "ratingValue": "1.000", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2013", 
            "ratingValue": "0.857", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2012", 
            "ratingValue": "0.800", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2011", 
            "ratingValue": "0.405", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2008", 
            "ratingValue": "0.909", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2010", 
            "ratingValue": "1.091", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2009", 
            "ratingValue": "1.213", 
            "type": "Rating"
          }
        ], 
        "description": "

    Sponsored by the International Association for Pattern Recognition, this journal is focused on publishing articles that cover all areas related to document analysis and recognition. This includes contributions dealing with computer recognition of characters, symbols, text, lines, graphics, images, handwriting, signatures, as well as automatic analyses of the overall physical and logical structures of documents, with the ultimate objective of a high-level understanding of their semantic content.

    \n

    The International Journal on Document Analysis and Recognition (IJDAR) publishes articles of four primary types: original research papers, correspondence, overviews and summaries, and system descriptions. It also features special issues on active areas of research.

    \n

    Currently indexed in:
    Academic Search Alumni Edition, Academic Search Complete, Academic Search Premier, Bibliography of Linguistic Literature, Compendex, Compuscience, Computer Science Index, Current Abstracts, Current Contents/Engineering, Computing, and Technology, DBLP, Google, INSPEC, Journal Citation Reports/Science Edition, OCLC ArticleFirst Database, OCLC FirstSearch Electronic Collections Online, PASCAL, SCOPUS, Science Citation Index Expanded, Summon by Serial Solutions, TOC Premier.

    \n

     

    ", "editor": [ { "familyName": "Kise", "givenName": "Koichi", "type": "Person" } ], "id": "sg:journal.1038042", "inLanguage": [ "en" ], "isAccessibleForFree": false, "issn": [ "1433-2833", "1433-2825" ], "license": "Hybrid (Open Choice)", "name": "International Journal on Document Analysis and Recognition (IJDAR)", "productId": [ { "name": "dimensions_id", "type": "PropertyValue", "value": [ "38042" ] }, { "name": "springer_id", "type": "PropertyValue", "value": [ "10032" ] }, { "name": "lccn_id", "type": "PropertyValue", "value": [ "2001229200" ] }, { "name": "wos_id", "type": "PropertyValue", "value": [ "1433-2833/INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION" ] }, { "name": "scopus_id", "type": "PropertyValue", "value": [ "130138" ] }, { "name": "nlm_unique_id", "type": "PropertyValue", "value": [ "101292826" ] }, { "name": "nsd_ids_id", "type": "PropertyValue", "value": [ "442068" ] } ], "publisher": { "name": "Springer Berlin Heidelberg", "type": "Organization" }, "publisherImprint": "Springer", "sameAs": [ "https://app.dimensions.ai/discover/publication?and_facet_source_title=jour.1038042" ], "sdDataset": "journals", "sdDatePublished": "2021-01-20T04:59", "sdLicense": "https://scigraph.springernature.com/explorer/license/", "sdPublisher": { "name": "Springer Nature - SN SciGraph project", "type": "Organization" }, "sdSource": "file:///pack/app/journals_20190313_sn_only.jsonl", "startYear": "1998", "type": "Periodical", "url": "http://link.springer.com/journal/10032" } ]
     

    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/journal.1038042'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/journal.1038042'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/journal.1038042'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/journal.1038042'


     

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

    146 TRIPLES      21 PREDICATES      41 URIs      35 LITERALS      22 BLANK NODES

    Subject Predicate Object
    1 sg:journal.1038042 schema:about sg:ontologies/product-market-codes/I22021
    2 sg:ontologies/product-market-codes/I2203X
    3 schema:contentRating N2875512b3c7a40ceb72262bbad6ba44e
    4 N2f1fed6e5fa44c27bf7beac18b4f3b63
    5 N32aa1b717dd84b249f6a48e0e7e017fd
    6 N3eb01199521d4fd6a7e325b0a9c50cff
    7 N42c122905f744a42b0be2a0e420cdff3
    8 N65bc5685ee1e4b369b91f0b975b79c64
    9 N8aac1b98a249435caa4c89ea07244828
    10 N9f7057ebd1a74736b3651279a5a7c3b7
    11 Na936a1c605cf45afa7e7adc50b0734df
    12 Nd1d65ae1eba842649fbf54bb24e9995f
    13 Ne4a1e9286e124793980ac8c67bf2c86c
    14 Nf0242afa40f74973a9131f780d8c9fe1
    15 schema:description <P>Sponsored by the International Association for Pattern Recognition, this journal is focused on publishing articles that cover all areas related to document analysis and recognition. This includes contributions dealing with computer recognition of characters, symbols, text, lines, graphics, images, handwriting, signatures, as well as automatic analyses of the overall physical and logical structures of documents, with the ultimate objective of a high-level understanding of their semantic content. </P> <P>The International Journal on Document Analysis and Recognition (IJDAR) publishes articles of four primary types: original research papers, correspondence, overviews and summaries, and system descriptions. It also features special issues on active areas of research.</P> <P><STRONG>Currently indexed in</STRONG>:<BR>Academic Search Alumni Edition, Academic Search Complete, Academic Search Premier, Bibliography of Linguistic Literature, Compendex, Compuscience, Computer Science Index, Current Abstracts, Current Contents/Engineering, Computing, and Technology, DBLP, Google, INSPEC, Journal Citation Reports/Science Edition, OCLC ArticleFirst Database, OCLC FirstSearch Electronic Collections Online, PASCAL, SCOPUS, Science Citation Index Expanded, Summon by Serial Solutions, TOC Premier.</P> <P>&nbsp;</P>
    16 schema:editor N8845aeb0da664babb26fa973ee66997b
    17 schema:inLanguage en
    18 schema:isAccessibleForFree false
    19 schema:issn 1433-2825
    20 1433-2833
    21 schema:license Hybrid (Open Choice)
    22 schema:name International Journal on Document Analysis and Recognition (IJDAR)
    23 schema:productId N0ecab53a8ab543448bb4b54b44043832
    24 N3264ee51ca704916ba49dbcf074fa426
    25 N4b364580170e49a28d2cd1d8402bb251
    26 N5d2f0f1045d741c3bbbc13a19be184bd
    27 Na24b9a2a9d7d42d7b4d09f3c29a95454
    28 Nb3412b606da6481180cc0a17d8ca8447
    29 Nbf478a64893841ab9fc55195b3ea50e6
    30 schema:publisher Nc5405ff8ce3b46ec9c466ec465dc369f
    31 schema:publisherImprint Springer
    32 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_source_title=jour.1038042
    33 schema:sdDatePublished 2021-01-20T04:59
    34 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    35 schema:sdPublisher N03862b6256714e9ea3f25ecb8e3b4a02
    36 schema:startYear 1998
    37 schema:url http://link.springer.com/journal/10032
    38 sgo:license sg:explorer/license/
    39 sgo:sdDataset journals
    40 rdf:type schema:Periodical
    41 N03862b6256714e9ea3f25ecb8e3b4a02 schema:name Springer Nature - SN SciGraph project
    42 rdf:type schema:Organization
    43 N0ecab53a8ab543448bb4b54b44043832 schema:name scopus_id
    44 schema:value 130138
    45 rdf:type schema:PropertyValue
    46 N164ba9a401994533825d5d7da5e9ec89 rdf:first impact_factor_wos
    47 rdf:rest rdf:nil
    48 N1a6c1abebe1444bfa3fb8fecbc453688 rdf:first impact_factor_wos
    49 rdf:rest rdf:nil
    50 N2875512b3c7a40ceb72262bbad6ba44e schema:author Nb2aa4446e55e452f8ce65aae14b1e4c7
    51 schema:dateCreated 2017
    52 schema:ratingValue 1.298
    53 rdf:type schema:Rating
    54 N2f1fed6e5fa44c27bf7beac18b4f3b63 schema:author N8d31686e10684b1b8a906168c389f3a2
    55 schema:dateCreated 2013
    56 schema:ratingValue 0.857
    57 rdf:type schema:Rating
    58 N3264ee51ca704916ba49dbcf074fa426 schema:name nsd_ids_id
    59 schema:value 442068
    60 rdf:type schema:PropertyValue
    61 N32aa1b717dd84b249f6a48e0e7e017fd schema:author Ncf5a869ae8da4217906a484c9b051fc0
    62 schema:dateCreated 2012
    63 schema:ratingValue 0.800
    64 rdf:type schema:Rating
    65 N355a4aa8ff8f4e1ba41d9a2b689e4f28 rdf:first impact_factor_wos
    66 rdf:rest rdf:nil
    67 N3eb01199521d4fd6a7e325b0a9c50cff schema:author N8aa7dcd283d449dcb713d9d2a8ec635c
    68 schema:ratingValue 0.456
    69 rdf:type schema:Rating
    70 N42c122905f744a42b0be2a0e420cdff3 schema:author N7029d07a20184c889cccc9e9acf8e4b0
    71 schema:dateCreated 2016
    72 schema:ratingValue 0.902
    73 rdf:type schema:Rating
    74 N439328f0dc28437aac28947c2e64a35a rdf:first impact_factor_wos
    75 rdf:rest rdf:nil
    76 N4b364580170e49a28d2cd1d8402bb251 schema:name dimensions_id
    77 schema:value 38042
    78 rdf:type schema:PropertyValue
    79 N50e89b1d70ad4ac8bbc0d84d5dcd4ae7 rdf:first impact_factor_wos
    80 rdf:rest rdf:nil
    81 N5d2f0f1045d741c3bbbc13a19be184bd schema:name nlm_unique_id
    82 schema:value 101292826
    83 rdf:type schema:PropertyValue
    84 N65bc5685ee1e4b369b91f0b975b79c64 schema:author N355a4aa8ff8f4e1ba41d9a2b689e4f28
    85 schema:dateCreated 2014
    86 schema:ratingValue 1.000
    87 rdf:type schema:Rating
    88 N7029d07a20184c889cccc9e9acf8e4b0 rdf:first impact_factor_wos
    89 rdf:rest rdf:nil
    90 N8663e5f4371544f39666200f2a8af358 schema:familyName Kise
    91 schema:givenName Koichi
    92 rdf:type schema:Person
    93 N880a9d14370a41699edecebeadea204a rdf:first impact_factor_wos
    94 rdf:rest rdf:nil
    95 N8845aeb0da664babb26fa973ee66997b rdf:first N8663e5f4371544f39666200f2a8af358
    96 rdf:rest rdf:nil
    97 N8aa7dcd283d449dcb713d9d2a8ec635c rdf:first sjr
    98 rdf:rest rdf:nil
    99 N8aac1b98a249435caa4c89ea07244828 schema:author N880a9d14370a41699edecebeadea204a
    100 schema:dateCreated 2008
    101 schema:ratingValue 0.909
    102 rdf:type schema:Rating
    103 N8d31686e10684b1b8a906168c389f3a2 rdf:first impact_factor_wos
    104 rdf:rest rdf:nil
    105 N9f7057ebd1a74736b3651279a5a7c3b7 schema:author N50e89b1d70ad4ac8bbc0d84d5dcd4ae7
    106 schema:dateCreated 2009
    107 schema:ratingValue 1.213
    108 rdf:type schema:Rating
    109 Na24b9a2a9d7d42d7b4d09f3c29a95454 schema:name wos_id
    110 schema:value 1433-2833/INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION
    111 rdf:type schema:PropertyValue
    112 Na936a1c605cf45afa7e7adc50b0734df schema:author N439328f0dc28437aac28947c2e64a35a
    113 schema:dateCreated 2015
    114 schema:ratingValue 0.885
    115 rdf:type schema:Rating
    116 Nb2aa4446e55e452f8ce65aae14b1e4c7 rdf:first impact_factor_wos
    117 rdf:rest rdf:nil
    118 Nb3412b606da6481180cc0a17d8ca8447 schema:name lccn_id
    119 schema:value 2001229200
    120 rdf:type schema:PropertyValue
    121 Nbf478a64893841ab9fc55195b3ea50e6 schema:name springer_id
    122 schema:value 10032
    123 rdf:type schema:PropertyValue
    124 Nc5405ff8ce3b46ec9c466ec465dc369f schema:name Springer Berlin Heidelberg
    125 rdf:type schema:Organization
    126 Ncf5a869ae8da4217906a484c9b051fc0 rdf:first impact_factor_wos
    127 rdf:rest rdf:nil
    128 Nd1d65ae1eba842649fbf54bb24e9995f schema:author Ne67c0a68bee9471da96416b35877b7ac
    129 schema:ratingValue 1.629
    130 rdf:type schema:Rating
    131 Ne4a1e9286e124793980ac8c67bf2c86c schema:author N164ba9a401994533825d5d7da5e9ec89
    132 schema:dateCreated 2010
    133 schema:ratingValue 1.091
    134 rdf:type schema:Rating
    135 Ne67c0a68bee9471da96416b35877b7ac rdf:first snip
    136 rdf:rest rdf:nil
    137 Nf0242afa40f74973a9131f780d8c9fe1 schema:author N1a6c1abebe1444bfa3fb8fecbc453688
    138 schema:dateCreated 2011
    139 schema:ratingValue 0.405
    140 rdf:type schema:Rating
    141 sg:ontologies/product-market-codes/I22021 schema:inDefinedTermSet sg:ontologies/product-market-codes/
    142 schema:name Image Processing and Computer Vision
    143 rdf:type schema:DefinedTerm
    144 sg:ontologies/product-market-codes/I2203X schema:inDefinedTermSet sg:ontologies/product-market-codes/
    145 schema:name Pattern Recognition
    146 rdf:type schema:DefinedTerm
     




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


    ...