SYSTEM FOR OPTICAL CHARACTER RECOGNITION (OCR)
A system (1) for optical character recognition (OCR) from an image containing text shall minimize transcription errors and improve the quality of the resulting machine-encoded text. To this end, the system comprises:- a text area dispatcher module (6), connected to a collection (8) of OCR engines (a...
Saved in:
Main Authors | , , , , |
---|---|
Format | Patent |
Language | English French German |
Published |
19.02.2020
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | A system (1) for optical character recognition (OCR) from an image containing text shall minimize transcription errors and improve the quality of the resulting machine-encoded text. To this end, the system comprises:- a text area dispatcher module (6), connected to a collection (8) of OCR engines (aTR1, aTR2,...aTRn), and configured to allocate said image as input to a plurality of said OCR engines (aTR1, aTR2,...aTRn) and receive machine-encoded texts as output from each of said plurality of said OCR engines (aTR1, aTR2,...aTRn), and- an OCR validation engine module (10), configured to receive said machine-encoded texts and assign a confidence level to each of said machine-encoded texts,wherein said text area dispatcher module (6) is further configured to receive said confidence levels from the OCR validation engine module (10), wherein said plurality of said OCR engines (aTR1, aTR2,...aTRn) is a proper subset of said collection (8) of OCR engines (aTR1, aTR2,...aTRn), and wherein said text area dispatcher module (6) is further configured to choose said plurality of said OCR engines (aTR1, aTR2,...aTRn) based on previously received confidence levels. |
---|---|
AbstractList | A system (1) for optical character recognition (OCR) from an image containing text shall minimize transcription errors and improve the quality of the resulting machine-encoded text. To this end, the system comprises:- a text area dispatcher module (6), connected to a collection (8) of OCR engines (aTR1, aTR2,...aTRn), and configured to allocate said image as input to a plurality of said OCR engines (aTR1, aTR2,...aTRn) and receive machine-encoded texts as output from each of said plurality of said OCR engines (aTR1, aTR2,...aTRn), and- an OCR validation engine module (10), configured to receive said machine-encoded texts and assign a confidence level to each of said machine-encoded texts,wherein said text area dispatcher module (6) is further configured to receive said confidence levels from the OCR validation engine module (10), wherein said plurality of said OCR engines (aTR1, aTR2,...aTRn) is a proper subset of said collection (8) of OCR engines (aTR1, aTR2,...aTRn), and wherein said text area dispatcher module (6) is further configured to choose said plurality of said OCR engines (aTR1, aTR2,...aTRn) based on previously received confidence levels. |
Author | Lissowski, Thomas Bauer, Joachim Dinu, Ciprian Dr. Schreiber, Gerald Kolodziej, Richard |
Author_xml | – fullname: Dr. Schreiber, Gerald – fullname: Kolodziej, Richard – fullname: Bauer, Joachim – fullname: Lissowski, Thomas – fullname: Dinu, Ciprian |
BookMark | eNrjYmDJy89L5WTQC44MDnH1VXDzD1LwDwjxdHb0UXD2cAxydA5xDVIIcnX2d_fzDPH091PQ8HcO0uRhYE1LzClO5YXS3AwKbq4hzh66qQX58anFBYnJqXmpJfGuAcZmhoZmZiaOhsZEKAEAf3sm7A |
ContentType | Patent |
DBID | EVB |
DatabaseName | esp@cenet |
DatabaseTitleList | |
Database_xml | – sequence: 1 dbid: EVB name: esp@cenet url: http://worldwide.espacenet.com/singleLineSearch?locale=en_EP sourceTypes: Open Access Repository |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Medicine Chemistry Sciences Physics |
DocumentTitleAlternate | SYSTÈME DE RECONNAISSANCE OPTIQUE DE CARACTÈRES (OCR) SYSTEM ZUR OPTISCHEN ZEICHENERKENNUNG (OCR) |
ExternalDocumentID | EP3611664A1 |
GroupedDBID | EVB |
ID | FETCH-epo_espacenet_EP3611664A13 |
IEDL.DBID | EVB |
IngestDate | Fri Jul 19 14:30:03 EDT 2024 |
IsOpenAccess | true |
IsPeerReviewed | false |
IsScholarly | false |
Language | English French German |
LinkModel | DirectLink |
MergedId | FETCHMERGED-epo_espacenet_EP3611664A13 |
Notes | Application Number: EP20180189225 |
OpenAccessLink | https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200219&DB=EPODOC&CC=EP&NR=3611664A1 |
ParticipantIDs | epo_espacenet_EP3611664A1 |
PublicationCentury | 2000 |
PublicationDate | 20200219 |
PublicationDateYYYYMMDD | 2020-02-19 |
PublicationDate_xml | – month: 02 year: 2020 text: 20200219 day: 19 |
PublicationDecade | 2020 |
PublicationYear | 2020 |
RelatedCompanies | CCS Content Conversion Specialists GmbH |
RelatedCompanies_xml | – name: CCS Content Conversion Specialists GmbH |
Score | 3.2470129 |
Snippet | A system (1) for optical character recognition (OCR) from an image containing text shall minimize transcription errors and improve the quality of the resulting... |
SourceID | epo |
SourceType | Open Access Repository |
SubjectTerms | CALCULATING COMPUTING COUNTING PHYSICS |
Title | SYSTEM FOR OPTICAL CHARACTER RECOGNITION (OCR) |
URI | https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200219&DB=EPODOC&locale=&CC=EP&NR=3611664A1 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3dS8MwED_G_HzTqTi_yIMUfaiutkvNw5CZdk5ha-mqzKfRpCnspRuu4r_vJWzTF30LFzguIb_cR-4uAJf3he_Iu1aOQBLC9lie21mLKRvPRpZ7vpJOoWuHB0Paf_Vexu1xDaarWhjTJ_TLNEdEREnEe2Xu6_lPECswuZWLWzFF0uyhl3YCa-kdm4wDZgWPnTCOgohbnOPIGiYdlzoOpV4XHaUNtKJ9DYbw7VEXpcx_a5TeHmzGyKys9qGmygbs8NXHaw3YHizfuxuwZRI05QKJSxAuDuBm9D5KwwFB_41EcaobGhDe7yZdjqYpSUIePQ2fdeSJXEU8uT4E0gtT3rdRhMl6uZMwXgvrHkG9nJXqGEjB3ILSTPiFKjzBJFNeTtuuzBzUQVKwJjT_ZHPyz9wp7Op904nIDjuDevXxqc5Rz1biwuzQNyQ2fbc |
link.rule.ids | 230,309,783,888,25576,76882 |
linkProvider | European Patent Office |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfR3LTsJAcELwgTdFjfjcg2n0UKW2LOyBGNgWi9JHSjV4It0-Ei6FSI2_73QD6EVvm9lkMjvZ2XnsPACuO1lbix-aCQqSEKrBkkSNmixV8W5EidFOYy0ra4cdl9qvxvOkNanAbF0LI_uEfsnmiChRMcp7Id_rxU8Qy5S5lct7MUPQ_HEQdk1l5R3LjAOmmP2u5XumxxXOcaW4QVenmkap0UNHaQst7E457MB665dFKYvfGmWwD9s-IsuLA6ikeR1qfD14rQ67zuq_uw47MkEzXiJwJYTLQ7gbv49DyyHovxHPD8uGBoTbvaDH0TQlgcW9J3dYRp7IjceD2yMgAyvktookTDfHnVr-hlj9GKr5PE9PgGRMzyiNRDtLM0OwmKVGQlt6HGmog2LBGtD4E83pP3tXULNDZzQdDd2XM9greVgmJWvsHKrFx2d6gTq3EJeSW98xRoCn |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Apatent&rft.title=SYSTEM+FOR+OPTICAL+CHARACTER+RECOGNITION+%28OCR%29&rft.inventor=Dr.+Schreiber%2C+Gerald&rft.inventor=Kolodziej%2C+Richard&rft.inventor=Bauer%2C+Joachim&rft.inventor=Lissowski%2C+Thomas&rft.inventor=Dinu%2C+Ciprian&rft.date=2020-02-19&rft.externalDBID=A1&rft.externalDocID=EP3611664A1 |