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Extract from the Register of European Patents

EP About this file: EP3830756

EP3830756 - AUTOMATED DOCUMENT EXTRACTION AND CLASSIFICATION [Right-click to bookmark this link]
StatusThe patent has been granted
Status updated on  12.04.2024
Database last updated on 12.07.2024
FormerGrant of patent is intended
Status updated on  13.12.2023
FormerRequest for examination was made
Status updated on  07.05.2021
FormerThe international publication has been made
Status updated on  08.02.2020
Most recent event   Tooltip12.04.2024(Expected) grantpublished on 15.05.2024  [2024/20]
Applicant(s)For all designated states
Intuit Inc.
2700 Coast Avenue
Mountain View, CA 94043 / US
[2021/23]
Inventor(s)01 / DOUTHIT, Ronnie, Douglas
5601 Headquarters Drive
Plano, TX 75024 / US
02 / MOHAPATRA, Deepankar
5601 Headquarters Drive
Plano, TX 75024 / US
03 / SHAMANNA, Ram, Mohan
7923 Shackelford Drive
Frisco, TX 75035 / US
04 / REDDY, Chiranjeev, Jagannadha
5601 Headquarters Drive
Plano, TX 75024 / US
05 / HUANG, Yexin
3713 Morning Dove Drive
Plano, TX 75025 / US
06 / SUBRAMANIAN, Trichur, Shivaramakrishnan
5601 Headquarters Drive
Plano, TX 75024 / US
07 / DURAISAMI, Chinnadurai
8401 Memorial Lane Apt. 2208
Plano, TX 75024 / US
08 / PATCHIRAJAN, Karpaga, Ganesh
5601 Headquarters Drive
Plano, TX 75024 / US
09 / MATTEY, Amar, J.
5601 Headquarters Drive
Plano, TX 75024 / US
 [2021/23]
Representative(s)D Young & Co LLP
3 Noble Street
London EC2V 7BQ / GB
[2024/20]
Former [2021/23]D Young & Co LLP
120 Holborn
London EC1N 2DY / GB
Application number, filing date19843978.824.07.2019
[2021/23]
WO2019US43167
Priority number, dateUS20181605478103.08.2018         Original published format: US201816054781
[2021/23]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report
No.:WO2020028109
Date:06.02.2020
Language:EN
[2020/06]
Type: A1 Application with search report 
No.:EP3830756
Date:09.06.2021
Language:EN
The application published by WIPO in one of the EPO official languages on 06.02.2020 takes the place of the publication of the European patent application.
[2021/23]
Type: B1 Patent specification 
No.:EP3830756
Date:15.05.2024
Language:EN
[2024/20]
Search report(s)International search report - published on:KR06.02.2020
(Supplementary) European search report - dispatched on:EP22.03.2022
ClassificationIPC:G06Q40/10, G06N3/045, G06F16/35, G06F16/583, G06N5/04, G06V30/41
[2024/01]
CPC:
G06Q40/10 (EP,US); G06F16/353 (EP,US); G06F16/5846 (EP);
G06F16/93 (US); G06N3/045 (EP); G06N5/02 (US);
G06N5/04 (EP); G06V30/41 (EP) (-)
Former IPC [2022/16]G06K9/62, G06K9/00, G06N3/02, G06V30/41, G06F16/35, G06F16/583, G06Q40/00, G06N3/04, G06N5/04
Former IPC [2021/23]G06K9/62, G06K9/00, G06N3/02
Designated contracting statesAL,   AT,   BE,   BG,   CH,   CY,   CZ,   DE,   DK,   EE,   ES,   FI,   FR,   GB,   GR,   HR,   HU,   IE,   IS,   IT,   LI,   LT,   LU,   LV,   MC,   MK,   MT,   NL,   NO,   PL,   PT,   RO,   RS,   SE,   SI,   SK,   SM,   TR [2021/23]
Extension statesBANot yet paid
MENot yet paid
Validation statesKHNot yet paid
MANot yet paid
MDNot yet paid
TNNot yet paid
TitleGerman:AUTOMATISIERTE DOKUMENTEXTRAKTION UND -KLASSIFIZIERUNG[2021/23]
English:AUTOMATED DOCUMENT EXTRACTION AND CLASSIFICATION[2021/23]
French:EXTRACTION ET CLASSIFICATION AUTOMATISÉES DE DOCUMENTS[2021/23]
Entry into regional phase16.07.2020National basic fee paid 
16.07.2020Search fee paid 
16.07.2020Designation fee(s) paid 
16.07.2020Examination fee paid 
Examination procedure16.07.2020Examination requested  [2021/23]
05.10.2022Amendment by applicant (claims and/or description)
14.12.2023Communication of intention to grant the patent
08.04.2024Fee for grant paid
08.04.2024Fee for publishing/printing paid
08.04.2024Receipt of the translation of the claim(s)
Fees paidRenewal fee
27.07.2021Renewal fee patent year 03
27.07.2022Renewal fee patent year 04
27.07.2023Renewal fee patent year 05
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Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court.
Documents cited:Search[Y]  - GALLO IGNAZIO ET AL, "Deep Neural Networks for Page Stream Segmentation and Classification", 2016 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING: TECHNIQUES AND APPLICATIONS (DICTA), IEEE, (20161130), doi:10.1109/DICTA.2016.7797031, pages 1 - 7, XP033029221 [Y] 1-15 * Title;; figure 1 * * II. Related Works; page 1, column right *

DOI:   http://dx.doi.org/10.1109/DICTA.2016.7797031
 [Y]  - NAWEI CHEN ET AL, "A survey of document image classification: problem statement, classifier architecture and performance evaluation", INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION., DE, (20060803), vol. 10, no. 1, doi:10.1007/s10032-006-0020-2, ISSN 1433-2833, pages 1 - 16, XP055766249 [Y] 1-15 * 4.1.2 Choice of document features; page 6 * * page 4, column left *

DOI:   http://dx.doi.org/10.1007/s10032-006-0020-2
 [A]  - Wiedemann Gregor ET AL, "Page Stream Segmentation with Convolutional Neural Nets Combining Textual and Visual Features", (20180208), URL: https://arxiv.org/pdf/1710.03006v2.pdf, (20220309), XP055899103 [A] 1-15 * the whole document *
 [A]  - KOCHI T ET AL, "User-defined template for identifying document type and extracting information from documents", DOCUMENT ANALYSIS AND RECOGNITION, 1999. ICDAR '99. PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON BANGALORE, INDIA 20-22 SEPT. 1999, LOS ALAMITOS, CA, USA,IEEE COMPUT. SOC, US, (19990920), ISBN 978-0-7695-0318-9, pages 127 - 130, XP010351269 [A] 1-15 * the whole document *
 [A]  - AFZAL MUHAMMAD ZESHAN ET AL, "Deepdocclassifier: Document classification with deep Convolutional Neural Network", 2015 13TH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR), IEEE, (20150823), doi:10.1109/ICDAR.2015.7333933, pages 1111 - 1115, XP032814944 [A] 1-15 * the whole document *

DOI:   http://dx.doi.org/10.1109/ICDAR.2015.7333933
International search[A]US2007183655  (KONIG ARND C [US], et al) [A] 1-22 * See claims 1-8 and figure 1. *;
 [A]KR20100122298  (INHA IND PARTNERSHIP INST [KR]) [A] 1-22* See claims 1-8 and figure 1. *;
 [A]JP2011170786  (NOMURA RES INST LTD) [A] 1-22 * See paragraphs [0020]-[0025] and figure 1. *;
 [A]US2014156567  (SCHOLTES JOHANNES CORNELIS [NL]) [A] 1-22 * See paragraphs [0053]-[0057], claim 1 and figure 1. *;
 [A]US2014279937  (MCHENRY CHRISTOPHER A [US], et al) [A] 1-22 * See claims 15-18. *;
 [A]US2017308790  (NOGUEIRA DOS SANTOS CICERO [US], et al) [A] 1-22 * See paragraphs [0022]-[0040] and figures 1, 2. *
by applicant   - NAWEI CHEN et al., A survey of document image classification: problem statement, classifier architecture and performance evaluation, ISSN 1433-2833, DOI: 1O.1007/s10032-006-0020-2
The EPO accepts no responsibility for the accuracy of data originating from other authorities; in particular, it does not guarantee that it is complete, up to date or fit for specific purposes.