MX2008000180A - Analisis gramatical de estructuras visuales de documentos. - Google Patents

Analisis gramatical de estructuras visuales de documentos.

Info

Publication number
MX2008000180A
MX2008000180A MX2008000180A MX2008000180A MX2008000180A MX 2008000180 A MX2008000180 A MX 2008000180A MX 2008000180 A MX2008000180 A MX 2008000180A MX 2008000180 A MX2008000180 A MX 2008000180A MX 2008000180 A MX2008000180 A MX 2008000180A
Authority
MX
Mexico
Prior art keywords
document
recognition
techniques
employed
facilitate
Prior art date
Application number
MX2008000180A
Other languages
English (en)
Inventor
Paul A Viola
Michael Shilman
Original Assignee
Microsoft Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Microsoft Corp filed Critical Microsoft Corp
Publication of MX2008000180A publication Critical patent/MX2008000180A/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/768—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using context analysis, e.g. recognition aided by known co-occurring patterns
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/20—Natural language analysis
    • G06F40/205—Parsing
    • G06F40/211—Syntactic parsing, e.g. based on context-free grammar [CFG] or unification grammars
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/26—Techniques for post-processing, e.g. correcting the recognition result
    • G06V30/262—Techniques for post-processing, e.g. correcting the recognition result using context analysis, e.g. lexical, syntactic or semantic context
    • G06V30/274—Syntactic or semantic context, e.g. balancing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Databases & Information Systems (AREA)
  • Computing Systems (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Character Discrimination (AREA)
  • Image Analysis (AREA)
  • Character Input (AREA)
  • Document Processing Apparatus (AREA)
  • Processing Or Creating Images (AREA)
  • Machine Translation (AREA)

Abstract

Una representacion bidimensional de u documento es apalancado para extraer una estructura jerarquica que facilita el reconocimiento del documento. La estructura visual es gramaticamente analizada utilizando adaptaciones bidimensionales de algoritmos de analisis estadistico. Esto permite el reconocimiento de estructuras de presentacion (por ejemplo, columnas, autores, titulos, nota de pie de pagina, etc.) y similares de manera que los componentes estructurales del documento puede ser interpretados con exactitud. Tambien se pueden emplear tecnicas adicionales para facilitar el reconocimiento de presentacion del como documento. Por ejemplo, para facilitar el reconocimiento de documento, se pueden emplear tecnicas de analisis gramatical que utilizan aprendizaje de maquina, clasificacion de analisis a base de representaciones de imagenes tecnicas de intensificacion io complementarias, y/o "caracteristicas rapidas", y similares.
MX2008000180A 2005-07-01 2006-06-30 Analisis gramatical de estructuras visuales de documentos. MX2008000180A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US11/173,280 US8249344B2 (en) 2005-07-01 2005-07-01 Grammatical parsing of document visual structures
PCT/US2006/026140 WO2007005937A2 (en) 2005-07-01 2006-06-30 Grammatical parsing of document visual structures

Publications (1)

Publication Number Publication Date
MX2008000180A true MX2008000180A (es) 2008-04-02

Family

ID=37589602

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2008000180A MX2008000180A (es) 2005-07-01 2006-06-30 Analisis gramatical de estructuras visuales de documentos.

Country Status (12)

Country Link
US (1) US8249344B2 (es)
EP (1) EP1894144A4 (es)
JP (1) JP5031741B2 (es)
KR (1) KR101376863B1 (es)
CN (1) CN101253514B (es)
BR (1) BRPI0613103A8 (es)
CA (1) CA2614177A1 (es)
MX (1) MX2008000180A (es)
NO (1) NO20080090L (es)
RU (1) RU2421810C2 (es)
WO (1) WO2007005937A2 (es)
ZA (1) ZA200800041B (es)

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Also Published As

Publication number Publication date
EP1894144A2 (en) 2008-03-05
JP5031741B2 (ja) 2012-09-26
BRPI0613103A8 (pt) 2017-01-17
CN101253514B (zh) 2012-06-13
WO2007005937A2 (en) 2007-01-11
JP2009500755A (ja) 2009-01-08
NO20080090L (no) 2008-01-29
KR101376863B1 (ko) 2014-03-20
BRPI0613103A2 (pt) 2012-01-03
KR20080026128A (ko) 2008-03-24
WO2007005937A3 (en) 2007-09-13
EP1894144A4 (en) 2012-12-26
ZA200800041B (en) 2009-08-26
US8249344B2 (en) 2012-08-21
US20070003147A1 (en) 2007-01-04
RU2007149074A (ru) 2009-07-10
RU2421810C2 (ru) 2011-06-20
CA2614177A1 (en) 2007-01-11
CN101253514A (zh) 2008-08-27

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