A review on various techniques used to recognize off-line handwritten Malayalam characters

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Abstract

The process of recognizing the script written by different people with different handwriting in different languages
with the help of machines is called Off-line handwritten character recognition (OHCR). It is difficult for machines
to recognize the script in same language written in different localities and circumstances. It is an important factor
that how far machine can achieve the accuracy in recognizing these handwritten records. In this article, it is
examined the off-line handwritten records in Malayalam language.
Malayalam is the Dravidian language which is used in the Kerala state of India, Lakshadweep and Mahi. This
paper presents a comprehensive survey of various techniques with its accuracy rate on Malayalam off-line
handwriting recognition for the past few years. Different feature extraction and classification techniques used in
Malayalam off-line handwriting recognition are pointed out. Then databases chosen for these purposes are also
discussed.

Keywords:

Off-line handwritten character recognition (OHCR), Malayalam off-line handwriting recognition, feature extraction, classification.

Mathematics Subject Classification:

Mathematics
  • M.P. Ayyoob Department of Computer Science, Sullamussalam Science College, Areacode-673639, Kerala, India
  • P. Muhamed Ilyas Department of Computer Science, Sullamussalam Science College, Areacode-673639, Kerala, India.
  • Pages: 616-620
  • Date Published: 01-01-2021
  • Vol. 9 No. 01 (2021): Malaya Journal of Matematik (MJM)

Umapada Pal, Ramachandran Jayadevan, and Nabin Sharma. Handwriting recognition in indian regional scripts: a survey of offline techniques. ACM Transactions on Asian Language Information Processing (TALIP), $11(1): 1,2012$.

G Raju Recognition of unconstrained handwritten Malayalam characters using zero crossings of wavelet coefficients, Proc. Of International Conference on Advanced Computing and Communications, ADCOM, 217-221, 2006.

R. John, G. Raju and D. S. Guru, "1D Wavelet transform of projection profiles for isolated handwritten character recognition, Proc. Of ICCIMAO7, Sivakasi, 2007, 481$485,13-15 mathrm{~K}$

Lajish V L, Handwritten Character Recognition using perpetual Fuzzy zoning and Class modular Neural Networks, Proc. of fourth International Conf on Innovations in $I T, 2007$.

M Abdul Rahiman et. al., Isolated handwritten Malayalam character recognition using HLH intensity patterns, 2010 Second International Conference on Machine Learning and Computing.

M Abdul Rahiman et. al., An HCR System for Combinational Malayalam Handwritten Characters based on HLH Patterns, International Journal of Computer Applications $(0975-8887) 8(11)(2010)$.

M Abdul Rahiman and Rajasree M S, An Efficient Character Recognition System for Handwritten Malayalam Characters Based on Intensity Variations, International Journal of Computer Theory and Engineering, $3(3)(2011)$.

Bindu S Moni, G Raju, "Modified Quadratic Classifier and Directional Features for Handwritten Malayalam Character Recognition, IJCA Special Issue on Computational Science - New Dimensions Perspectives NCCSE, 2011.

Jomy John, Pramod K. V., Kannan Balakrishnan, Unconstrained Handwritten Malayalam Character Recognition using Wavelet Transform and Support vector Machine Classifier, In International Conference oncommunication Technology and System Design, ELSEVIER 2011.

A. Abraham et al. Recognition of Simple and Conjunct Handwritten Malayalam Characters Using LCPA Algo rithm ACC 2011, Part III, CCIS 192, 304-314, 2011. Springer-Verlag Berlin Heidelberg 2011.

Jomy John, Pramod K. V, Kannan Balakrishnan Offline Handwritten Malayalam Character Recognition Based on Chain Code Histogram, Proceedings Of ICETECT 2011.

Vidya V, Indhu T R, Bhadran V K,R Ravindra Kumar, "Malayalam Offline Handwritten Recognition using Probabilistic Simplified Fuzzy ARTMAP, Advances in Intelligent Systems and Computing, 182(2013), 273-283.

Jomy John, KV Pramod, Kannan Balakrishnan, and Bidyut B Chaudhuri. A two stage approach for handwritten malayalam character recognition. In Frontiers in Handwriting Recognition (ICFHR), 2014 14th International Conference on, 199-204. IEEE, 2014.

G Raju, Bindu S Moni, and Madhu S Nair. A novel handwritten character recognition system using gradient based features and run length count. Sadhana, 39(6)(2014), $1333-1355$.

Meenu Alex and Smija Das. An Approach towards Malayalam Handwriting Recognition Using Dissimilar Classifiers.

Jino P J., Jomy John., Kannan Balakrishnan.: Offline Handwritten Malayalam character Recognition using stacked LSTM. In: 2017 International Conference on Intelligent Computing,Instrumentation and Control Technologies (ICICICT).

P. J. Jino, Kannan Balakrishnan and Ujjwal Bhattacharya.: Offine Handwritten Malayalam Word Recognition Using a Deep Architecture. In: SocPros2017, 1.10.1007/978981-13-1592-3_73.

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Published

01-01-2021

How to Cite

M.P. Ayyoob, and P. Muhamed Ilyas. “A Review on Various Techniques Used to Recognize off-Line Handwritten Malayalam Characters”. Malaya Journal of Matematik, vol. 9, no. 01, Jan. 2021, pp. 616-20, https://www.malayajournal.org/index.php/mjm/article/view/1093.