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Segmentation of Handwritten Documents Containing Kannada Script

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Saleem Pasha, M. C. Padma

Saleem Pasha and M C Padma. Segmentation of Handwritten Documents Containing Kannada Script. International Journal of Computer Applications 144(12):1-6, June 2016. BibTeX

	author = {Saleem Pasha and M. C. Padma},
	title = {Segmentation of Handwritten Documents Containing Kannada Script},
	journal = {International Journal of Computer Applications},
	issue_date = {June 2016},
	volume = {144},
	number = {12},
	month = {Jun},
	year = {2016},
	issn = {0975-8887},
	pages = {1-6},
	numpages = {6},
	url = {},
	doi = {10.5120/ijca2016910485},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Segmentation is one of the important phases of Optical Character Recognition (OCR) system, which extracts objects of interest from an image. Feature extraction and classification phases of OCR will be more effective, if the techniques selected for segmentation is effective. This paper focuses on to develop a system for handwritten documents containing Kannada script and proposes suitable techniques to perform preprocessing and also segmentation such as line, word and character segmentation. Novelty is achieved by proposing a modified horizontal projection profile method for line segmentation, in which well separated lines and overlapping lines are detected. An average accuracy of 97.5% is achieved for line segmentation and word segmentation.


  1. Mamatha Hosalli Ramappa and Srikantamurthy Krishnamurthy. 2012. Skew Detection, Correction and Segmentation of Handwritten Kannada Document. International Journal of Advanced Science and Technology, 72 – 88.
  2. Mamatha H R and Srikantamurthy K. 2012. Morphological Operations and Projection Profiles based Segmentation of Handwritten Kannada Document. International Journal of Applied Information Systems, 13–19.
  3. M. Thungamani and P. Ramakhanth Kumar. 2012. A Survey of Methods and Strategies in Handwritten Kannada Character Segmentation. International Journal of Science and Research, 18–23.
  4. M.Ravi Kumar, Nayana N Shetty and B.P.Pragathi. 2012. Text Line Segmentation of Handwritten Documents using Clustering Method based on Thresholding Approach. International Journal of Computer Applications, 9 – 12.
  5. Alireza Alaei, P. Nagabhushan and Umapada Pal. 2011. A Benchmark Kannada Handwritten Document Dataset and its Segmentation. International Conference on Document Analysis and Recognition, 141 – 145.
  6. A. Sunanda Dixit, B. S.Ranjitha and Dr .H. N. Suresh. Segmentation of handwritten Kannada text document through computation of standard error and weighted bucket algorithm. International Journal of Advanced Computer Technology, 55 – 62.
  7. Soumya A and G Hemantha Kumar. 2014. Preprocessing of Camera Captured Inscriptions and Segmentation of Handwritten Kannada text. International Journal of Advanced Research in Computer and Communication Engineering, 6794 – 6803.
  8. Indira K and Selvi S. S. 2009. Kannada character recognition system: a review. InterJRI Sci Technol, 31–42.
  9. Postl W. 1986. Detection of liner oblique structure and skew scan in digitized documents. In: proceeding of international conference on pattern recognition, 687–689.


Segmentation, Optical Character Recognition (OCR), modified horizontal projection profile.