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Article:Multi-Font/Size Character Recognition and Document Scanning
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 23 - Number 1 |
| Year of Publication: 2011 |
| Authors: Ritesh Kapoor, Sonia Gupta, C.M. Sharma |
10.5120/2853-3662
|
Ritesh Kapoor, Sonia Gupta, C.M. Sharma . Article:Multi-Font/Size Character Recognition and Document Scanning. International Journal of Computer Applications. 23, 1 ( June 2011), 21-24. DOI=10.5120/2853-3662
Abstract
This paper presents a simple and efficient approach for the implementation of Optical Character Recognition and translation of scanned images of printed text into machine-encoded text. It makes use of four different image analysis phases followed by image detection via multi layer back propagation neural network. This paper also describes scanning the entire document and recognizing individual characters from image irrespective of their position, size and various font styles. It deals with recognition of the symbols from English language which can be easily extended for large set of symbols including UNICODE characters; this can be easily achieved by training the network for different symbol set. The phases described in this paper are simple and easy to implement.
References
- Optical character recognition http://en.wikipedia.org/wiki/Optical_character_recognition
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- Anita Pal, Dayashankar Singh “Handwritten English Character Recognition Using Neural Network”, International Journal of Computer Science & CommunicationVol. 1, No. 2, July-December 2010
- B.V.Dhandra, Mallikarjun Hangarge, Gururaj Mukarambi, “Spatial Features for Handwritten Kannada and English” IJCA Special Issue on “Recent Trends in Image Processing and Pattern Recognition”
- Yusuf Perwej, Ashish Chaturvedi “Neural Networks for Handwritten English Alphabet Recognition” International Journal of Computer Applications (0975 – 8887)
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