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Memory-based recognition of camera-captured characters

Published: 09 June 2010 Publication History

Abstract

This paper addresses how to quickly recognize a character pattern using a lot of case examples without learning. Here without learning means just finding the most similar example from the case examples, and pretend as if the OCR understands the definition of the character. This strategy is expected to work well in most cases with a large dataset, however, also expected to take a lot of time for finding the most similar example. In this paper, we show that a lot of case examples can be processed in a short time. As a testbed, we handle recognition problem of camera-captured printed characters. Using a database storing 100 fonts, the proposed method achieved 97.0% of recognition rate for images captured from the right angle and 95.8% for those from 45 deg. with 4.56ms of processing time, that is about 220 characters per second including every process.

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M. Iwamura, T. Tsuji, A. Horimatsu, and K. Kise. Real-time camera-based recognition of characters and pictograms. In Proc. 10th International Conference on Document Analysis and Recognition (ICDAR2009), pages 76--80, July 2009.
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M. Iwamura, T. Tsuji, A. Horimatsu, and K. Kise. Real-time recognition of camera-captured characters in complex layouts. In Proc. Third International Workshop on Camera-Based Document Analysis and Recognition (CBDAR2009), pages 53--60, July 2009.
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Cited By

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  • (2019)Text Localization and Recognition in Images and VideoHandbook of Document Image Processing and Recognition10.1007/978-0-85729-859-1_28(843-883)Online publication date: 24-Jul-2019
  • (2017)Reading-Life Log as a New Paradigm of Utilizing Character and Document MediaHuman-Harmonized Information Technology, Volume 210.1007/978-4-431-56535-2_7(197-233)Online publication date: 21-Apr-2017
  • (2015)Efficient Anchor Graph Hashing with Data-Dependent Anchor SelectionIEICE Transactions on Information and Systems10.1587/transinf.2015EDL8060E98.D:11(2030-2033)Online publication date: 2015
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cover image ACM Other conferences
DAS '10: Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
June 2010
490 pages
ISBN:9781605587738
DOI:10.1145/1815330
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 09 June 2010

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Cited By

View all
  • (2019)Text Localization and Recognition in Images and VideoHandbook of Document Image Processing and Recognition10.1007/978-0-85729-859-1_28(843-883)Online publication date: 24-Jul-2019
  • (2017)Reading-Life Log as a New Paradigm of Utilizing Character and Document MediaHuman-Harmonized Information Technology, Volume 210.1007/978-4-431-56535-2_7(197-233)Online publication date: 21-Apr-2017
  • (2015)Efficient Anchor Graph Hashing with Data-Dependent Anchor SelectionIEICE Transactions on Information and Systems10.1587/transinf.2015EDL8060E98.D:11(2030-2033)Online publication date: 2015
  • (2015)Efficient three dimensional rotation estimation for camera-based OCR2015 14th IAPR International Conference on Machine Vision Applications (MVA)10.1109/MVA.2015.7153110(459-462)Online publication date: May-2015
  • (2015)Efficient estimation of character normal direction for Camera-based OCRProceedings of the 2015 13th International Conference on Document Analysis and Recognition (ICDAR)10.1109/ICDAR.2015.7333786(371-375)Online publication date: 23-Aug-2015
  • (2013)Three Dimensional Rotation-Free Camera-based Character RecognitionIEEJ Transactions on Electronics, Information and Systems10.1541/ieejeiss.133.876133:4(876-882)Online publication date: 2013
  • (2013)What is the Most EfficientWay to Select Nearest Neighbor Candidates for Fast Approximate Nearest Neighbor Search?Proceedings of the 2013 IEEE International Conference on Computer Vision10.1109/ICCV.2013.439(3535-3542)Online publication date: 1-Dec-2013
  • (2013)Accuracy Improvement of Viewpoint-Free Scene Character Recognition by Rotation Angle EstimationRevised Selected Papers of the International Workshop on Camera-Based Document Analysis and Recognition - Volume 835710.1007/978-3-319-05167-3_5(60-70)Online publication date: 23-Aug-2013
  • (2012)Character recognition of Kannada text in low resolution display board images using zone wise statistical features2012 World Congress on Information and Communication Technologies10.1109/WICT.2012.6409051(61-66)Online publication date: Oct-2012
  • (2012)Recognizing Words in Scenes with a Head-Mounted Eye-TrackerProceedings of the 2012 10th IAPR International Workshop on Document Analysis Systems10.1109/DAS.2012.74(333-338)Online publication date: 27-Mar-2012
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