National Journal of System and Information Technology

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Noise Detection and Reduction in Printed English Text


Affiliations
1 Shrimad Rajchandra Institute of Management and Computer Application, Uka Tarsadia University, Bardoli, India
2 Shrimad Rajchandra Institute of Management and Computer Application, India
     

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Printed character recognition has been one of the most interesting and challenging research areas in field of image processing and pattern recognition in the recent years. OCR has an improve efficiency and less computational cost, to use database recognize English character which is managed and very simple. It is digitizing process by handwritten or printed text that can be scanned electronically and used in. machine process. Its applying appropriate methods to scanned image and denoised image to obtain saved for further processing.

Keywords

OCR, Relation, Scanned Images, Type Machine.
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  • Ravina Mithe, Supriya Indalkar and Nilam Divekar, “ Optical Character Recognition”, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-2, Issue-1, March 2013.

  • Nisha Sharma, Tushar Patnaik, and Bhupendra Kumar, " Recognition for Handwritten English Letters: A Review”, International Journal of Engineering and Innovative Technology (IJEIT) Volume 2, Issue 7, January 2013.

  • Shalin A.Chopra , Amit A. Ghadge , Onkar A. Padwal , Karan S. Punjabi and Prof. Gandhali S. Gurjar , “Optical Character Recognition” , International Journal of Advanced Research in Computer and Communication Engineering.

  • S.K.Thilagavathy and Dr.R.Indra Gandhi, “Recognition Of Distorted Character Using Edge Detection Algorithm”, International Journal of Innovative Research in Computer and Communication Engineering Vol. 1, Issue 4, June 2013, ISSN (Print): 2320 – 9798, ISSN (Online): 2320 – 9801.

  • Er. Neetu Bhatia Kurukshetra institute of Technology & Management Kurukshetra, India , “Optical Character Recognition Techniques: A Review” , International Journal of Advanced Research in Computer Science and Software Engineering Volume 4, Issue 5, May 2014.

  • Jagruti Chandarana , Mayank Kapadia Department of Electronics and Communication Engineering ,Uka Tarsadia University , “Optical Character Recognition” , International Journal of Emerging Technology and Advanced Engineering Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 4, Issue 5, May 2014).

  • Mr. Rohit Verma School Of Information Technology APJIMTC , Jalander , India And Dr. Jahid Ali SSCIMT , Badhani , Pathankot , India ,“ A Comparative Study Of Image Noice and Efficient Noise Removal Techniques ” , International Journal Of Advanced Research in Computer Science and software Engineering , Volume 3, Issue 10, October 2013 , ISSN: 2277 128X.

  • Purna Vithlani , Department of Computer Science Saurahtra University , Rajkot , Gujarati , India , “Pre-processing Techniques in character Recognitin ” , International Journal Of Advanced Research in Computer Science and software Engineering , Volume 4, Issue 11, November 2014 , ISSN: 2277 128X.

  • Poovizhi P Assistant Professor Dept of Computer Science and Engineering SNS College of Engineering Coimbatore TamilNadu, “A Study on Preprocessing Techniques for the Character Recognition”, International Journal of Open Information Technologies ISSN: 2307-8162 vol. 2, no. 12, 2014.

  • Pardeep Kaur and Pooja Choudhary, “Review On: English Scanned Documents “, International Journal of Engineering Research-Online A Peer Reviewed International Journal Vol.3, Issue.2, 2015.

  • Gaurav Kumar Department of Information Technology, Panipat Institute of Engineering & Technology Samalkha, Haryana, India , “Analytical Review of Preprocessing Techniques for Offline Handwritten Character Recognition “ , Special Issue: Proceedings Of 2nd International Conference on Emerging Trends in Engineering and Management, ICETEM 2013.


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  • Noise Detection and Reduction in Printed English Text

Abstract Views: 398  |  PDF Views: 2

Authors

Ishita Patel
Shrimad Rajchandra Institute of Management and Computer Application, Uka Tarsadia University, Bardoli, India
Dhwanil Patel
Shrimad Rajchandra Institute of Management and Computer Application, Uka Tarsadia University, Bardoli, India
Foram Patel
Shrimad Rajchandra Institute of Management and Computer Application, Uka Tarsadia University, Bardoli, India
Bhumika Chauhan
Shrimad Rajchandra Institute of Management and Computer Application, Uka Tarsadia University, Bardoli, India
Rinal Mistry
Shrimad Rajchandra Institute of Management and Computer Application, Uka Tarsadia University, Bardoli, India
Khushbu Patel
Shrimad Rajchandra Institute of Management and Computer Application, India

Abstract


Printed character recognition has been one of the most interesting and challenging research areas in field of image processing and pattern recognition in the recent years. OCR has an improve efficiency and less computational cost, to use database recognize English character which is managed and very simple. It is digitizing process by handwritten or printed text that can be scanned electronically and used in. machine process. Its applying appropriate methods to scanned image and denoised image to obtain saved for further processing.

Keywords


OCR, Relation, Scanned Images, Type Machine.

References