IN2014MN02595A - - Google Patents

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Publication number
IN2014MN02595A
IN2014MN02595A IN2595MUN2014A IN2014MN02595A IN 2014MN02595 A IN2014MN02595 A IN 2014MN02595A IN 2595MUN2014 A IN2595MUN2014 A IN 2595MUN2014A IN 2014MN02595 A IN2014MN02595 A IN 2014MN02595A
Authority
IN
India
Prior art keywords
sequence
modifier
additional information
identify
sequences
Prior art date
Application number
Inventor
Kishor K Barman
Pawan Kumar Baheti
Kumar Raj Kumar Krishna
Original Assignee
Qualcomm Inc
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 Qualcomm Inc filed Critical Qualcomm Inc
Publication of IN2014MN02595A publication Critical patent/IN2014MN02595A/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V30/14—Image acquisition
    • G06V30/148—Segmentation of character regions
    • G06V30/153—Segmentation of character regions using recognition of characters or words
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V30/268—Lexical context
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V30/28—Character recognition specially adapted to the type of the alphabet, e.g. Latin alphabet
    • G06V30/293—Character recognition specially adapted to the type of the alphabet, e.g. Latin alphabet of characters other than Kanji, Hiragana or Katakana

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Character Discrimination (AREA)
  • Character Input (AREA)

Abstract

An electronic device and method identify a block of text in an image of real world captured by a mobile devices camera slice sub blocks from the block and identify characters in the sub blocks that form a first sequence which is used with a predetermined set of sequences to identify a second sequence therein. The second sequence may be identified as recognized (as a modifier absent word) when not associated with additional information. When the second sequence is associated with additional information a check is made on pixels in the image based on a test specified in the additional information. When the test is satisfied a copy of the second sequence in combination with the modifier is identified as recognized (as a modifier present word). Storage and use of modifier information in addition to a set of sequences of characters enables recognition of words with or without modifiers.
IN2595MUN2014 2012-07-19 2013-06-29 IN2014MN02595A (en)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US201261673606P 2012-07-19 2012-07-19
US201261677291P 2012-07-30 2012-07-30
US13/828,060 US9262699B2 (en) 2012-07-19 2013-03-14 Method of handling complex variants of words through prefix-tree based decoding for Devanagiri OCR
PCT/US2013/048830 WO2014014640A1 (en) 2012-07-19 2013-06-29 Method of handling complex variants of words through prefix-tree based decoding for devanagiri ocr

Publications (1)

Publication Number Publication Date
IN2014MN02595A true IN2014MN02595A (en) 2015-07-24

Family

ID=49946589

Family Applications (1)

Application Number Title Priority Date Filing Date
IN2595MUN2014 IN2014MN02595A (en) 2012-07-19 2013-06-29

Country Status (4)

Country Link
US (1) US9262699B2 (en)
CN (1) CN104428790A (en)
IN (1) IN2014MN02595A (en)
WO (1) WO2014014640A1 (en)

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CN112395450B (en) * 2020-11-17 2024-03-19 平安科技（深圳）有限公司 Picture character detection method and device, computer equipment and storage medium
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Also Published As

Publication number Publication date
WO2014014640A1 (en) 2014-01-23
US9262699B2 (en) 2016-02-16
US20140023274A1 (en) 2014-01-23
CN104428790A (en) 2015-03-18

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