Real Time Optical Character Recognition based on Feed Forward Networks
Dipali A. Badade1, Poonam R. Deokar2, Deepali B. Chavan3, Manisha B. Bomble4, Devidas Thosar5
1Dipali Anil Badade, Computer Engineering, Pune University, Sharadchandra Pawar College of Engineering, Otur, Pune, India.
2Poonam Ramesh Deokar, Computer Engineering, Pune University, Sharadchandra Pawar College of Engineering, Otur, Pune, India.
3Deepali Balkrishna Chavan, Computer Engineering, Pune University, Sharadchandra Pawar College of Engineering, Otur, Pune, India.
4Manisha Bhaskar Bomble, Computer Engineering, Pune University, Sharadchandra Pawar College of Engineering, Otur, Pune, India.
5Prof. Devidas Thosar, Computer Engg. Department ,SPCOE, Otur, India
Manuscript received on February 11, 2014. | Revised Manuscript received on February 15, 2014. | Manuscript published on February 25, 2014. | PP: 56-59 | Volume-2, Issue-4, February 2014. | Retrieval Number: D0662022414/2014©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Optical Character Recognition (OCR) is the mechanical or electronic translation of images of handwritten or typewritten text (usually captured by a scanner) into machine-editable text. The main aim of this project is to design an expert system which will be best to, “Optical Character Recognition” that effectively can recognize a particular character of type format using the Feed Forward approach. OCR is a field of research in artificial intelligence, in pattern recognition and also in machine vision. Though academic research in the field that continues, the focus on OCR has been shifted to implementation of proven techniques. Optical character recognition (using optical techniques such as mirrors and lenses) and digital character recognition (using scanners and computer algorithms) were originally considered as separate fields. Because a very few applications survive that use the true optical techniques, the OCR term has been broadened now to include digital image processing as well. This system will be applicable of recognizing any number of characters including uppercase, lowercase alphabets and numerals.
Keywords: Optical Character Recognition, Feed Forward Networks, Image Processing, Artificial Intelligence.