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Vocabulary Generation Method by Optical Character Recognition
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 Title & Authors
Vocabulary Generation Method by Optical Character Recognition
Kim, Nam-Gyu; Kim, Dong-Eon; Kim, Seong-Woo; Kwon, Soon-Kak;
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 Abstract
A reader usually spends a lot of time browsing and searching word meaning in a dictionary, internet or smart applications in order to find the unknown words. In this paper, we propose a method to compensate this drawback. The proposed method introduces a vocabulary upon recognizing a word or group of words that was captured by a smart phone camera. Through this proposed method, organizing and editing words that were captured by smart phone, searching the dictionary data using bisection method, listening pronunciation with the use of speech synthesizer, building and editing of vocabulary stored in database are given as the features. A smart phone application for organizing English words was established. The proposed method significantly reduces the organizing time for unknown English words and increases the English learning efficiency.
 Keywords
OCR;Character Recognition;Words Ordering;Vocabulary;
 Language
Korean
 Cited by
1.
모바일 로봇 기반의 도서 관리 시스템 개발,김아람;이세한;이상용;

한국지능시스템학회논문지, 2016. vol.26. 1, pp.9-15 crossref(new window)
2.
스마트폰으로 검출된 객체의 음성합성 시스템,권순각;

한국멀티미디어학회논문지, 2016. vol.19. 2, pp.469-478 crossref(new window)
1.
Speech Synthesis System for Detected Objects by Smart Phone, Journal of Korea Multimedia Society, 2016, 19, 2, 469  crossref(new windwow)
2.
Development of Library Management System based on a Mobile Robot, Journal of Korean Institute of Intelligent Systems, 2016, 26, 1, 9  crossref(new windwow)
 References
1.
A. Singh, K. Bacchuwar, and A. Bhasin, “A Survey of OCR Applications,” International Journal of Machine Learning and Computing, Vol. 2, No. 3, pp. 314-318, 2012. crossref(new window)

2.
R. Mithe, S. Indalkar, and N. Divekar, “Optical Character Recognition,” International Journal of Recent Technology and Engineering, Vol. 2, No. 1, pp. 72-75, 2013. crossref(new window)

3.
V. Shrivastava and N. Sharma, “Artificial Neural Network Based Optical Character Recognition,” Signal & Image Processing : An International Journal, Vol. 3, No. 5, pp. 73-80, 2012. crossref(new window)

4.
S.-K. Kwon and S.-H. Jo, “Community-Based Travel Information System Using Augmented Reality,” Journal of Korea Multimedia Society, Vol. 18, No. 2, pp. 97-105, 2015. crossref(new window)

5.
Microsoft, https://www.microsoft.com (accessed Feb., 25, 2015).

6.
R. Smith. “An Overview of the Tesseract OCR Engine,” Proceeding of International Conference on Document Analysis and Recognition, pp. 629-633, 2007.

7.
The Tesseract Open Source OCR Engine, https://github.com/tesseract-ocr (accessed Jan., 10, 2015).

8.
S.-K. Kwon, H.-J. An, and Y.-H. Choi, “Character Recognition System based on Android Smart Phone,” International Journal of Modern Engineering Research, Vol. 2, No. 6, pp. 4091-4093, 2012.

9.
E.-B. Go, Y.-J. Ha, S.-R. Choi, K.-H. Lee, and Y.-H. Park, “An Implementation of an Android Mobile System for Extracting and Retrieving Texts from Images,” Journal of Digital Contents Society, Vol. 12, No. 1, pp. 57-67, 2011. crossref(new window)

10.
S.-R. Choi, E.-B. Go, Y.-J. Ha, and Y.-H. Park, “An Implementation of a System for Extracting and Retrieving Texts on Android Platform using OCR,” Proceeding of Korea Multimedia Society, pp. 469-473, 2010.

11.
J.-W. Kim, S.-H. Kim, and C.-W. Lee, “Construction of Educational Contents Using On-Line Character Recognition,” Proceeding of Korea Multimedia Society, pp. 309-312, 2009.

12.
Stardict, http://www.stardict.org/ (accessed Oct., 12, 2014).

13.
R. Stevenson, “The Completion of Locally Refined Simplicial Partitions Created by Bisection,” Mathematics of Computation, Vol. 77, No. 261, pp. 227-241, 2008. crossref(new window)

14.
SQLite, http://www.sqlite.org/ (accessed Sep., 3, 2014).

15.
S. Kwon, S. Kim, and D. Kim, System and Method for Ordering Word Based on OCR Character Recognition, 10-2015-0019575, Korea, 2015.