Picture table recognition method and device, electronic equipment and storage medium
The embodiment of the invention provides a picture table recognition method and device, electronic equipment and a storage medium, and relates to the technical field of image recognition. The method comprises: carrying out the segmentation of a table region, and obtaining a horizontal line segmentat...
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Patent |
Sprache: | chi ; eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | MENG LIYU WANG MINGHAO |
description | The embodiment of the invention provides a picture table recognition method and device, electronic equipment and a storage medium, and relates to the technical field of image recognition. The method comprises: carrying out the segmentation of a table region, and obtaining a horizontal line segmentation grey-scale map, a vertical line segmentation grey-scale map, a row region segmentation grey-scale map and a column region segmentation grey-scale map; performing connected region analysis and clustering on the binarized horizontal line segmentation grey-scale map, the binarized vertical line segmentation grey-scale map, the binarized row region segmentation grey-scale map and the binarized column region segmentation grey-scale map to obtain a horizontal line segment object set, a vertical line segment object set, a row region pixel point set and a column region pixel point set; determining a plurality of cells according to the transverse line segment object set, the vertical line segmentobject set, the row regi |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN111860502A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN111860502A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN111860502A3</originalsourceid><addsrcrecordid>eNqNy7sKwkAQRuFtLER9h7FXSBTFVoJiJRbpwzr7Jw7sJW4mPr8iPoDVab4zNfVNWMcMUnv3oAxOXRSVFClAH8mRjY4cXsJYETxYc4rChOcofUDULxg0Zdvh8zgZw9xMWusHLH6dmeX5VFeXNfrUYOgtI0Kb6lqW5WFf7IrNcfuPeQOtwzjp</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Picture table recognition method and device, electronic equipment and storage medium</title><source>esp@cenet</source><creator>MENG LIYU ; WANG MINGHAO</creator><creatorcontrib>MENG LIYU ; WANG MINGHAO</creatorcontrib><description>The embodiment of the invention provides a picture table recognition method and device, electronic equipment and a storage medium, and relates to the technical field of image recognition. The method comprises: carrying out the segmentation of a table region, and obtaining a horizontal line segmentation grey-scale map, a vertical line segmentation grey-scale map, a row region segmentation grey-scale map and a column region segmentation grey-scale map; performing connected region analysis and clustering on the binarized horizontal line segmentation grey-scale map, the binarized vertical line segmentation grey-scale map, the binarized row region segmentation grey-scale map and the binarized column region segmentation grey-scale map to obtain a horizontal line segment object set, a vertical line segment object set, a row region pixel point set and a column region pixel point set; determining a plurality of cells according to the transverse line segment object set, the vertical line segmentobject set, the row regi</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2020</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20201030&DB=EPODOC&CC=CN&NR=111860502A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20201030&DB=EPODOC&CC=CN&NR=111860502A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>MENG LIYU</creatorcontrib><creatorcontrib>WANG MINGHAO</creatorcontrib><title>Picture table recognition method and device, electronic equipment and storage medium</title><description>The embodiment of the invention provides a picture table recognition method and device, electronic equipment and a storage medium, and relates to the technical field of image recognition. The method comprises: carrying out the segmentation of a table region, and obtaining a horizontal line segmentation grey-scale map, a vertical line segmentation grey-scale map, a row region segmentation grey-scale map and a column region segmentation grey-scale map; performing connected region analysis and clustering on the binarized horizontal line segmentation grey-scale map, the binarized vertical line segmentation grey-scale map, the binarized row region segmentation grey-scale map and the binarized column region segmentation grey-scale map to obtain a horizontal line segment object set, a vertical line segment object set, a row region pixel point set and a column region pixel point set; determining a plurality of cells according to the transverse line segment object set, the vertical line segmentobject set, the row regi</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNy7sKwkAQRuFtLER9h7FXSBTFVoJiJRbpwzr7Jw7sJW4mPr8iPoDVab4zNfVNWMcMUnv3oAxOXRSVFClAH8mRjY4cXsJYETxYc4rChOcofUDULxg0Zdvh8zgZw9xMWusHLH6dmeX5VFeXNfrUYOgtI0Kb6lqW5WFf7IrNcfuPeQOtwzjp</recordid><startdate>20201030</startdate><enddate>20201030</enddate><creator>MENG LIYU</creator><creator>WANG MINGHAO</creator><scope>EVB</scope></search><sort><creationdate>20201030</creationdate><title>Picture table recognition method and device, electronic equipment and storage medium</title><author>MENG LIYU ; WANG MINGHAO</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN111860502A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2020</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>MENG LIYU</creatorcontrib><creatorcontrib>WANG MINGHAO</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>MENG LIYU</au><au>WANG MINGHAO</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Picture table recognition method and device, electronic equipment and storage medium</title><date>2020-10-30</date><risdate>2020</risdate><abstract>The embodiment of the invention provides a picture table recognition method and device, electronic equipment and a storage medium, and relates to the technical field of image recognition. The method comprises: carrying out the segmentation of a table region, and obtaining a horizontal line segmentation grey-scale map, a vertical line segmentation grey-scale map, a row region segmentation grey-scale map and a column region segmentation grey-scale map; performing connected region analysis and clustering on the binarized horizontal line segmentation grey-scale map, the binarized vertical line segmentation grey-scale map, the binarized row region segmentation grey-scale map and the binarized column region segmentation grey-scale map to obtain a horizontal line segment object set, a vertical line segment object set, a row region pixel point set and a column region pixel point set; determining a plurality of cells according to the transverse line segment object set, the vertical line segmentobject set, the row regi</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | chi ; eng |
recordid | cdi_epo_espacenet_CN111860502A |
source | esp@cenet |
subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
title | Picture table recognition method and device, electronic equipment and storage medium |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T13%3A47%3A09IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=MENG%20LIYU&rft.date=2020-10-30&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN111860502A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |