A Technique is developed to over-segmentation of the handwritten word images acquisition:

Authors

  • Dr. Anoop Sharma Dept. of computer & Research Center, Singhania University pacheri Bari Raj.
  • Ms. Rajnesh Kumari Research Scholar, Dept. of computer & Research Center, Singhania University pacheri Bari Raj

Keywords:

Handwriting, Character, Segmentation, Proposed

Abstract

Off-Line handwriting segmentation and recognition has been a challenging and exciting area of research for many years. The popularity of this field of research is mainly due to the unconstrained and cursive nature of human handwriting. The segmentation and recognition of such type of handwritten script is still an open problem and is an active area of research these days. The character recognition accuracy of an OCR system can be improved remarkably if the characters within a word are correctly isolated. Hence, segmentation is the most crucial step in the off-line cursive handwritten script recognition process. Good segmentation results are always welcome.

References

Belaid (1997) OCR Print – An overview. Chapter 2 in Survey of the state of the art in human language

technology, 71-74 Gatos B, Louloudis G & Stamatopoulos N (2014) Segmentation of Historical Handwritten Documents into Text Zones and Text Lines proceedings of International Conference on frontiers in Handwriting Recognition, ICFHR, 464-469.10..1109/ICFHR2014.84.

Dutta K, Krishan P, Mathew M and Jawahar CV (2018) Offline Handwriting Recognition on Devanagari Using

a New Benchmark Dataset. 13th IAPR International Workshop on Document Analysis Systems (DAS), Vienna 25-30.

Gatos B, Louloudis G & Stamatpoulos N (2014) Segmentation of Historical Handwritten Documents into

Text Zones and Text lines. Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR, 464-469.10.1109/ICFHR2014.84.

Singh J and Lehal GS (2014) Comparative Performance Analysis of feature (S)- Classifier Combination for

Devanagari Optical Character Recognition System. International Journal of Advanced Computer Science and Applications, 5(6):37-42

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Published

30-09-2023

How to Cite

Dr. Anoop Sharma, & Ms. Rajnesh Kumari. (2023). A Technique is developed to over-segmentation of the handwritten word images acquisition:. International Journal for Research Publication and Seminar, 14(4), 68–75. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/424

Issue

Vol. 14 No. 4 (2023): Vol 14 | Issue 4 | July - September 2023

Section

Original Research Article

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