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An Interactive System for E-Learning
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 179 - Number 10 |
| Year of Publication: 2018 |
| Authors: Lalit B. Damahe, Mrunmayee Jape, Aditi Vaidya, Nikita Mandlekar, Vandana Lunia |
10.5120/ijca2018916094
|
Lalit B. Damahe, Mrunmayee Jape, Aditi Vaidya, Nikita Mandlekar, Vandana Lunia . An Interactive System for E-Learning. International Journal of Computer Applications. 179, 10 ( Jan 2018), 1-5. DOI=10.5120/ijca2018916094
Abstract
This is the era of progressive technology where the main players comprise of mobile and mobile devices. Mobile application pool has grown tremendously because of high availability and the portable nature of mobile phones and public API’s. M-learning or mobile learning is defined as “learning across multiple contexts, through social and content interactions, using persona electronic devices”. This learning allows seeking information with our personal smart-phones and with ease. Combining E-learning concept, with a motive of providing mobility for learning and seeking the usefulness of OCR, an interactive E-learning system has been developed. The proposed system includes image processing, client (mobile) – sever (computer) communication for interaction and exchange of data. The client side will first send the image consisting of the source code to the server (any personal computer) and the server side will make use of OCR technique to convert the text (in the image) into editable text form, compile it, generate and send the output/result of the source code in the form of a text file, back to the client side(mobile).
References
- Neetu Bhatia “Optical character Recognition Techniques: A Review”, ICDAR 2014 International Conference, vol 4, Issue 5, 2014.
- Tomomi Takashina, Hideki Sasaki, Yuji Kokumai, and Yutaka Iwasaki “OCR Based Interaction For Coded Objects”, IEEE 3rdGlobal conference On Consumer Electronics (GCCE), pp 383-384, 2014.
- Sukhpreet Singh “Optical Character Recognition Techniques: A Survey”, Journal Of Emerging Trends In Computing and Information Sciences, vol.4, no.6, pp 545-550, 6 June 2013.
- Sathiapriya Ramiah, Tan Yu Liong, Manoj Jayabalan “Detecting text based Imagewith OCR for English Translation and Speech using Android”, IEEE 2015, pp. 272-277, 2015.
- Chirag Patel, Atul Patel, Dharmendra Patel, “Optical Character Recognition by Open Source Tool Tesseract”, International Journal Of Computer Applications, vol.55, no.10, pp 50-56, October 2012.
- S.S. Bhukari, F. Shafait, T.M. Breuel “Adaptive Binarization of Uconstrainedhand-held Camera-captured Document Images”, Journal of Universal Computer Science, vol 15, no 18, pp 3343-3363, 2009.
- Rafael C. Gonzliz, Richard E. Woods “Digital Image Proceesing: Third edition”, Pearson Publication, 2015.
- Ritesh Kapoor, Sonia Gupta, and C.M. Sharma, “Multifont /size character recognition and document scanning,” Int. J. of Computer Application, volume 23, no.1,pp.21-24,2011.
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