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Optical Character Recognition by Open source OCR Tool Tesseract: A Case Study

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 55 - Number 10
Year of Publication: 2012
Authors:
Chirag Patel
Atul Patel
Dharmendra Patel
10.5120/8794-2784

Chirag Patel, Atul Patel and Dharmendra Patel. Article: Optical Character Recognition by Open source OCR Tool Tesseract: A Case Study. International Journal of Computer Applications 55(10):50-56, October 2012. Full text available. BibTeX

@article{key:article,
	author = {Chirag Patel and Atul Patel and Dharmendra Patel},
	title = {Article: Optical Character Recognition by Open source OCR Tool Tesseract: A Case Study},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {55},
	number = {10},
	pages = {50-56},
	month = {October},
	note = {Full text available}
}

Abstract

Optical character recognition (OCR) method has been used in converting printed text into editable text. OCR is very useful and popular method in various applications. Accuracy of OCR can be dependent on text preprocessing and segmentation algorithms. Sometimes it is difficult to retrieve text from the image because of different size, style, orientation, complex background of image etc. We begin this paper with an introduction of Optical Character Recognition (OCR) method, History of Open Source OCR tool Tesseract, architecture of it and experiment result of OCR performed by Tesseract on different kinds images are discussed. We conclude this paper by comparative study of this tool with other commercial OCR tool Transym OCR by considering vehicle number plate as input. From vehicle number plate we tried to extract vehicle number by using Tesseract and Transym and compared these tools based on various parameters.

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