Optical Character Recognition Essay
Segmentation of Handwritten Gujarati Text Document in OCR : A Review
Nilam Mistry, Vidhi Patel, Sameer Vasi, Kunal Shah, Denish Rixawala, Foram Rakholiya, Jitendra Nasriwala, Rakesh Sawant
Babu Madhav Institute of Information Technology,
Uka Tarsadia University
Maliba Campus, Gopal Vidhyanagar,
Bardoli, Gujarat, India
ABSTRACT
Optical character recognition is an active field for recognition pattern. Recognition of offline handwritten text is a very challenging task. Aside from the large variation of different handwriting styles, neighbouring characters within a word are usually connected, and we may need to segment a word into individual characters for accurate character recognition.
Optical character recognition is an active field to
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They propose one of the two methods that are able to properly segment both lines and words. Their method is able to deal with overlapping text lines and various kinds of writing.
[6]. In this paper, they have proposed different methods for text line segmentation of English language. They have used smearing methods, horizontal projections, half transform. They first blur the image to enhance text line areas and then segment the images surface along several white paths in the blurred image. After they assign CCs of the original image to the appropriate line segment. They notice that most of them occurred when they had great variations in letter size. They could try and define locally the blurring window depending on a more local estimation of the average letter height.
[7]. In this paper, they have proposed different methods for segmentation of handwritten words into its basic components namely basic characters, conjunct characters and modifiers, which are essential for recognition of a
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Segmenting natural language characters like Hindi, Gujarati etc is more challenging task in compare to English language. To perform segmentation we require some knowledge of particular language. So , we are trying to do more work on this so that efficiency of this work will increase & we get large throughput of doing work.
References:
1.www.wikipedia.com
2.International Journal of Computer Applications (0975 – 8887) Volume 73– No.3, July 2013 7 Extraction of Characters and Modifiers from Handwritten Gujarati Words Chhaya Patel MCA Department Anand Institute of Information Science, Anand, India
Apurva Desai Department of Computer Science, Veer Narmad South Gujarat University,
Surat, India
3. Design and Implementation of Optical Character Recognition System to
Recognize Gujarati Script using Template Matching
4. International Journal of Computer Applications (0975 – 8887) Volume 65– No.16, March 2013
5. Author manuscript, published in "Document recognition and retrieval XVIII - Electronic Imaging, San Francisco : United
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