Refine your search
Collections
Co-Authors
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Patel, Bharat C.
- Comprehensive Study on Recognition of Offline Handwritten Gujarati Numerals
Abstract Views :234 |
PDF Views:2
Authors
Affiliations
1 Veer Narmad South Gujarat University, Surat, Gujarat, IN
1 Veer Narmad South Gujarat University, Surat, Gujarat, IN
Source
National Journal of System and Information Technology, Vol 10, No 1 (2017), Pagination: 23-34Abstract
Last few decades, Handwritten Character Recognition (HCR) is one of the most intricate and tricky area in the field of pattern recognition. Research on Optical Character Recognition (OCR) of Gujarati script is very difficult and challenging task due to its complex structural attributes. The most important difficulty with handwritten text is the variability of writing styles, between different writers and between separate examples from the same writer overtime. There is no standard dataset available for handwritten Gujarati characters. Researcher has to develop their own character dataset. Handwritten character/Numeral recognition has received large attention in academics and production fields. This paper will act as guide and update for the readers, working in the field of OCR of Gujarati language. An overview of various statistical and structural features used for recognition based on the various research papers is presented and reviewed.Keywords
Gujarati Numeral Recognition, Off-Line Handwriting Recognition, Feature Extraction, Classification.
References
- Snehal S. Patwardhan and R.R. Deshmukh, “Recognition of Offline Handwritten Marathi Characters & Numerals using SVM Classifier”, Asian Journal of Computer Science And Information Technology, Vol. 5, Issue 11,pp. 70-72, Nov. 2015.
- L. Harmon, “Automatic recognition of print and script”, Proc. IEEE, 1972, pp.1165-1176.
- Bhattacharya U. and Chaudhuri B.B., “Handwritten numeral databases of Indian script and multistage recognition of mixed numerals”, IEEE Trans. Pattern and Mach. Intell., Vol. 31, No. 3, pp.444-457, 2009.
- Ramesh Kumar Mohapatra, Tusar Kanti Mishra, Sandeep Panda and Banshidhar Majhi, “OHCS: A Database for Handwritten Atomic Odia Character Recognition”, Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, 2015.
- Desai Apurva A., "Gujarati handwritten numeral optical character reorganization through neural network.", Pattern recognition,Vol 43.7, pp. 2582-2589, 2010.
- Chhaya Patel and Apurva Desai, “Gujarati handwritten character recognition using hybrid method based on binary tree-classifier and k-nearest neighbor", International Journal of Engineering Research Technology (IJERT),vol. 2, issue 6, June-2013, pp. 2278-0181.
- Lipi Shah, Ripal Patel, Shreyal Patel and Jay Maniar, “Handwritten Character Recognition using Radial Histogram" ,International Journal of Research in Advent Technology, 2014 Vol.2, No.4, pp. 2321-9637.
- Desai Apurva A., "Support vector machine for identification of handwritten Gujarati alphabets using hybrid feature space", CSI Transactions on ICT, pp. 1-7, 2015.
- Kamal Moro, Mohammed Fakir and Belaid Bouikhalene, “Handwritten Gujarati Digit Recognition using Sparse Representation Classifier”, International Arab Conference on Information Technology, 2016.
- Archana N. Vyas and Mukesh M. Goswami, “Classification of Handwritten Gujarati Numerals”, International Conference on Advances in Computing, Communications and Informatics (ICACCI),pp. 1231-1237, 2015.
- Kamal S. Galdhariya, Khushali Raval and Shardul Agravat, “A Novel approach to Recognize Handwritten Gujarati Digits”, National Conference on Advances in Computer Science Engineering & Technology, pp. 26-29, May 2017.
- Sharma Ankit, Adhyaru Dipak M. and Zaveri Tanish H., “Chain code feature based recognition of handwritten Gujarati numerals”, International Journal of Advanced Research in Computer Science, Jan-Feb 2017, Vol. 8, Issue 1, pp. 74-77.
- Chhaya C Gohel, Mukesh M Goswami and Vishal K Prajapati, "On-line handwritten Gujarati character Recognition using low level stroke", pp. 130-134, 2015.
- Nafiz Arica and Fatos T. Yarman-Vural,“An Overview of Character Recognition Focused On Off-line Handwriting”, C99-06-C-203, IEEE, 2000.
- Vikas J Dongre and Vijay H Mankar,“A Review of Research on Devnagari Character Recognition”, International Journal of Computer Applications, Vol. 12, No. 2, 2010.
- B. Yu and A. K. Jain,“A Robust and Fast Skew Detection Algorithm for Generic Documents”, Pattern Recognition, 1996.
- Rajiv Kapoor, Deepak Bagai and T. S. Kamal,“Skew angle detection of a cursive handwritten Devnagari script character image”, Journal of Indian Inst. Science, pp. 161-175, May-Aug. 2002.
- K. M. Mohiuddin and J. Mao,“A Comparative Study of Different Classifiers for Handprinted Character Recognition”, Pattern Recognition in Practice IV, pp. 437-448, 1994.
- Sandhya Arora, Debotosh Bhattacharjee, Mita Nasipuri, D. K. Basu and M. Kundu,“Recognition of Non-Compound Handwritten Devnagari Characters using a Combination of MLP and Minimum Edit Distance”, International Journal of Computer Science and Security (IJCSS), Vol. 4, Issue 1.