IN2014CN04624A - - Google Patents

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Publication number
IN2014CN04624A
IN2014CN04624A IN4624CHN2014A IN2014CN04624A IN 2014CN04624 A IN2014CN04624 A IN 2014CN04624A IN 4624CHN2014 A IN4624CHN2014 A IN 4624CHN2014A IN 2014CN04624 A IN2014CN04624 A IN 2014CN04624A
Authority
IN
India
Prior art keywords
bins
connected components
scale sets
scale
spatial
Prior art date
Application number
Inventor
Shang Hsuan Tsai
Vasudev Parameswaran
Radek Grzeszczuk
Original Assignee
Nokia 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 Nokia Corp filed Critical Nokia Corp
Publication of IN2014CN04624A publication Critical patent/IN2014CN04624A/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/40—Image enhancement or restoration using histogram techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
    • 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
    • G06V30/18—Extraction of features or characteristics of the image
    • G06V30/1801—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes or intersections
    • G06V30/18076—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes or intersections by analysing connectivity, e.g. edge linking, connected component analysis or slices
    • 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)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Image Analysis (AREA)
  • Character Input (AREA)
  • Image Processing (AREA)
  • Facsimile Image Signal Circuits (AREA)

Abstract

A digital image is converted to a multiple level image and multiple scale sets are formed from connected components of the multiple level image such that different ones of the scale sets define different size spatial bins. For each of the multiple scale sets there is generated a count of connected components extracted from the respective scale set for each spatial bin; and adjacent spatial bins which represent connected components are linked. Then the connected components from the different scale sets are merged and text line detection is performed on the merged connected components. In one embodiment each of the scale sets is a histogram and prior to linking all bins with less than a predetermined count are filtered out; and each histogram is extended such that counts of adjacent horizontal and vertical bins are added (single region bins are filtered out) and the linking is on the extended histograms.
IN4624CHN2014 2011-11-21 2012-10-17 IN2014CN04624A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US13/301,103 US8611662B2 (en) 2011-11-21 2011-11-21 Text detection using multi-layer connected components with histograms
PCT/FI2012/050994 WO2013076358A1 (en) 2011-11-21 2012-10-17 Text detection using multi-layer connected components with histograms

Publications (1)

Publication Number Publication Date
IN2014CN04624A true IN2014CN04624A (en) 2015-09-18

Family

ID=48427024

Family Applications (1)

Application Number Title Priority Date Filing Date
IN4624CHN2014 IN2014CN04624A (en) 2011-11-21 2012-10-17

Country Status (7)

Country Link
US (1) US8611662B2 (en)
EP (1) EP2783328B1 (en)
JP (1) JP5775225B2 (en)
KR (1) KR101617681B1 (en)
CN (1) CN103946866B (en)
IN (1) IN2014CN04624A (en)
WO (1) WO2013076358A1 (en)

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US9064191B2 (en) 2012-01-26 2015-06-23 Qualcomm Incorporated Lower modifier detection and extraction from devanagari text images to improve OCR performance
US9141874B2 (en) 2012-07-19 2015-09-22 Qualcomm Incorporated Feature extraction and use with a probability density function (PDF) divergence metric
US9076242B2 (en) 2012-07-19 2015-07-07 Qualcomm Incorporated Automatic correction of skew in natural images and video
US9047540B2 (en) 2012-07-19 2015-06-02 Qualcomm Incorporated Trellis based word decoder with reverse pass
US9014480B2 (en) 2012-07-19 2015-04-21 Qualcomm Incorporated Identifying a maximally stable extremal region (MSER) in an image by skipping comparison of pixels in the region
US9262699B2 (en) 2012-07-19 2016-02-16 Qualcomm Incorporated Method of handling complex variants of words through prefix-tree based decoding for Devanagiri OCR
US9047528B1 (en) * 2013-02-19 2015-06-02 Amazon Technologies, Inc. Identifying characters in grid-based text
US9928572B1 (en) 2013-12-20 2018-03-27 Amazon Technologies, Inc. Label orientation
US9460357B2 (en) * 2014-01-08 2016-10-04 Qualcomm Incorporated Processing text images with shadows
US9858304B2 (en) * 2014-04-15 2018-01-02 Raytheon Company Computing cross-correlations for sparse data
US9183636B1 (en) * 2014-04-16 2015-11-10 I.R.I.S. Line segmentation method
CN104182750B (en) * 2014-07-14 2017-08-01 上海交通大学 A kind of Chinese detection method based on extreme value connected domain in natural scene image
WO2016014020A1 (en) 2014-07-21 2016-01-28 Hewlett-Packard Development Company, L.P. Radial histogram matching
US9235757B1 (en) * 2014-07-24 2016-01-12 Amazon Technologies, Inc. Fast text detection
CN104766095A (en) * 2015-04-16 2015-07-08 成都汇智远景科技有限公司 Mobile terminal image identification method
CN104751147A (en) * 2015-04-16 2015-07-01 成都汇智远景科技有限公司 Image recognition method
US9471990B1 (en) * 2015-10-20 2016-10-18 Interra Systems, Inc. Systems and methods for detection of burnt-in text in a video
US10083353B2 (en) * 2016-10-28 2018-09-25 Intuit Inc. Identifying document forms using digital fingerprints
CN107688806B (en) * 2017-08-21 2021-04-20 西北工业大学 Affine transformation-based free scene text detection method
CN108985288B (en) * 2018-07-17 2022-06-14 电子科技大学 TGMSERs-based SAR image oil spill detection method
CN110008950A (en) * 2019-03-13 2019-07-12 南京大学 The method of text detection in the natural scene of a kind of pair of shape robust

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JPS6413687A (en) * 1987-07-07 1989-01-18 Nec Corp System for detecting character row
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JP3868654B2 (en) * 1998-03-27 2007-01-17 株式会社リコー Image processing device
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Also Published As

Publication number Publication date
JP2014531097A (en) 2014-11-20
EP2783328B1 (en) 2018-08-22
WO2013076358A1 (en) 2013-05-30
KR20140091762A (en) 2014-07-22
EP2783328A1 (en) 2014-10-01
EP2783328A4 (en) 2016-09-28
CN103946866B (en) 2018-06-01
CN103946866A (en) 2014-07-23
KR101617681B1 (en) 2016-05-11
US8611662B2 (en) 2013-12-17
JP5775225B2 (en) 2015-09-09
US20130129216A1 (en) 2013-05-23

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