research-article

On-line Hindi handwritten character recognition for mobile devices

Authors:

G. Keerthi Prasad,

Imran Khan,

Naveen ChanukotimathAuthors Info & Claims

ICACCI '12: Proceedings of the International Conference on Advances in Computing, Communications and Informatics

Pages 1074 - 1078

https://doi.org/10.1145/2345396.2345568

Published: 03 August 2012 Publication History

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Abstract

Online handwriting recognition systems have been developed for various character sets. Despite that, very less attempt has been made to build an online handwriting recognition system for Indian languages. We present an online handwritten isolated character recognition system for an Indian language, Hindi, for mobile devices. Developing an online handwriting recognition system for Hindi character set to mobile devices would play an important role in making these devices available and usable for the Indian society. In this paper, we present a model for writer-independent online handwriting character recognition for the 49 basic Hindi characters. The proposed system is implemented on mobile device using two different approaches namely Principal Component Analysis (PCA) and Dynamic Time Wrapping (DTW). To find the suitability of these two approaches for handheld devices several experiments were conducted and detailed analysis has been made on the obtained results. The results obtained for PCA approach is quite promising than DTW. On an average, recognition accuracy up to 86% is achieved for the PCA approach and up to 66% is achieved for DTW approach, also the time taken for recognition of unknown character is around 0.8sec for PCA approach, and around 51sec for DTW approach, thus the PCA approach is suitable for real-time applications.

References

[1]

Homayoon S. M. Beigi, Krishna Nathan, Gregory J. Clary, Jayashree Subrahmonia, "Challenges of Handwriting Recognition in Farse, Arabic and other languages with Similar Writing Styles -- An Online Digit Recognizer", T. J. Watson Research Center, IBM

Google Scholar

[2]

Deneen, L., "Handheld PDAs and Wearable Computing Devices",at http://www.educause.edu/ir/library/pdf/DEC0101.pdf

Google Scholar

[3]

Srinivasa Rao Kunte, R, Sudhaker Samuel, R D "On-line character recognition for handwritten Kannada characters using wavelet features and neural classifier" IETE J RES. Vol. 46, no. 5, pp. 387--392. 2000.

Crossref

Google Scholar

[4]

M. Sridhar, D. Mandalapu, and M. Patel. "Active- DTW: A generative classier that combines elastic matching with active shape modeling for online handwritten character recognition". International Conference on Frontiers in Handwriting Recognition, 99(7):1.100, November 1999.

Google Scholar

[5]

Niranjan Joshi, G. Sita, A. G. Ramakrishnan and S. Madhvanath, " Comparison of elastic matching algorithms for online Tamil handwritten character recognition", In Proc. IWFHR-9, Tokyo, Japan, Oct. 26-29, pp. 444--449, 2004.

Digital Library

Google Scholar

[6]

Hiroto Mitoma, Seiichi Uchida, and Hiroaki Sakoe, "Online Character Recognition Based on Elastic Matching and Quadratic Discrimination", Kyushu University, Japan, 2005.

Google Scholar

[7]

Shlens, J. "A Tutorial on Principal Component Analysis: Derivation, Discussion, and Singular Value Decomposition". Online Notes: http://www.snl.salk.edu/~shlens/notes.html, 2006.

Google Scholar

[8]

Stan Salvador and Philip Chan "FastDTW: Toward Accurate Dynamic Time Warping inLinear Time and Space" 2004.

Google Scholar

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Das BSen SMukherjee HRoy K(2023)Feature Selection Approaches in Online Bangla Handwriting RecognitionComputational Intelligence in Communications and Business Analytics10.1007/978-3-031-48879-5_19(245-258)Online publication date: 30-Nov-2023
https://doi.org/10.1007/978-3-031-48879-5_19
Singh PSarkar RAbraham ANasipuri M(2021)A Case Study on Handwritten Indic Script Classification: Benchmarking of the Results at Page, Block, Text-line, and Word LevelsACM Transactions on Asian and Low-Resource Language Information Processing10.1145/347610221:2(1-36)Online publication date: 3-Nov-2021
https://dl.acm.org/doi/10.1145/3476102
Naik VDesai A(2018)Multi-layer Classification Approach for Online Handwritten Gujarati Character RecognitionComputational Intelligence: Theories, Applications and Future Directions - Volume II10.1007/978-981-13-1135-2_45(595-606)Online publication date: 2-Sep-2018
https://doi.org/10.1007/978-981-13-1135-2_45
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On-line Hindi handwritten character recognition for mobile devices
1. Applied computing
  1. Document management and text processing
    1. Document capture
2. Computing methodologies
  1. Machine learning

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ICACCI '12: Proceedings of the International Conference on Advances in Computing, Communications and Informatics

August 2012

1307 pages

ISBN:9781450311960

DOI:10.1145/2345396

Editors:
Sabu M. Thampi,
El-Sayed El-Afry,
Javier Aguiar,
General Chairs:
K. Gopalan
Purdue University Calumet
,
Sabu M. Thampi
Indian Institute of Information Technology and Management - Kerala, India

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 03 August 2012

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ICACCI '12: 2012 International Conference on Advances in Computing, Communications and Informatics

August 3 - 5, 2012

Chennai, India

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Das BSen SMukherjee HRoy K(2023)Feature Selection Approaches in Online Bangla Handwriting RecognitionComputational Intelligence in Communications and Business Analytics10.1007/978-3-031-48879-5_19(245-258)Online publication date: 30-Nov-2023
https://doi.org/10.1007/978-3-031-48879-5_19
Singh PSarkar RAbraham ANasipuri M(2021)A Case Study on Handwritten Indic Script Classification: Benchmarking of the Results at Page, Block, Text-line, and Word LevelsACM Transactions on Asian and Low-Resource Language Information Processing10.1145/347610221:2(1-36)Online publication date: 3-Nov-2021
https://dl.acm.org/doi/10.1145/3476102
Naik VDesai A(2018)Multi-layer Classification Approach for Online Handwritten Gujarati Character RecognitionComputational Intelligence: Theories, Applications and Future Directions - Volume II10.1007/978-981-13-1135-2_45(595-606)Online publication date: 2-Sep-2018
https://doi.org/10.1007/978-981-13-1135-2_45
Sahu PSingh VKiran IVeera VAbhinav TVijay AVenkatesan S(2017)Personalized Hand Writing Recognition Using Continued LSTM Training2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)10.1109/ICDAR.2017.44(218-223)Online publication date: Nov-2017
https://doi.org/10.1109/ICDAR.2017.44
Dutta DChowdhury ABhattacharya UParui S(2014)Stroke Level User-Adaptation for Stroke Order Free Online Handwriting Recognition2014 14th International Conference on Frontiers in Handwriting Recognition10.1109/ICFHR.2014.50(250-255)Online publication date: Sep-2014
https://doi.org/10.1109/ICFHR.2014.50
Keerthi Prasad GKhan IChanukotimath NKhan F(2012)On-line handwritten character recognition system for Kannada using Principal Component Analysis Approach: For handheld devices2012 World Congress on Information and Communication Technologies10.1109/WICT.2012.6409161(675-678)Online publication date: Oct-2012
https://doi.org/10.1109/WICT.2012.6409161

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A combined method on the handwritten character recognition

Indic script family and its offline handwriting recognition for characters/digits and words: a comprehensive survey

Online Handwritten Gurmukhi Words Recognition: An Inclusive Study

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