Abstract
Handwritten character recognition has been a well-known area of research for last five decades. This is an important application of pattern recognition in image processing. Generally 2D scanning is used and the text is captured in the form of an image. In this work instead of regular scanning method, the X, Y co-ordinates are measured using measuroscope at every pixel point. Further a 3D feature, depth of indentation, ‘Z’, which is proportional to the pressure applied by the scriber at that point, is measured using a dial gauge indicator. In the present work the profile based features extracted for palm leaf character recognition are ‘histogram’ and ‘distance’ profiles. The recognition accuracy obtained using the Z-dimension, a 3D feature, is very high and the best result obtained is 92.8 % using histogram profile algorithm.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
P.N. Sastry, R. Krishnan, B.V.S. Ram, Classification and identification of Telugu handwritten characters extracted from palm leaves using decision tree approach. J. Appl. Eng. Sci. 5(3), 22–32 (2010)
P.N. Sastry, R. Krishnan, Isolated Telugu palm leaf character recognition using radon transform, a novel approach, in World Congress on Information and Communication Technologies (WICT), (2012), pp. 795–802
P.N. Sastry, R. Krishnan, B.V.S. Ram, Telugu character recognition on palm leaves- a three dimensional approach. Technol. Spectr. 2(3), 19–26 (2008)
P.N. Sastry, T.R. Vijaya Lakshmi, R. Krishnan, N. Rao, Analysis of Telugu palm leaf characters using multi-level recognition approach. J. Appl. Eng. Sci. 10(20), 9258–9264 (2015)
T.R. Vijaya Lakshmi, P.N. Sastry, R. Krishnan, N.V.K. Rao, T.V. Rajinikanth, Analysis of Telugu palm leaf character recognition using 3D feature, in International Conference on Computational Intelligence and Networks (CINE), (2015). pp. 36–41
C. Patvardhan, A.K. Verma, C.V. Lakshmi, Document image binarization using wavelets for OCR applications, in Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing, (ACM, 2012), pp. 60:1–60:8
C. Patvardhan, A.K. Verma, C.V. Lakshmi, Document image denoising and binarization using curvelet transform for OCR applications, in Engineering (NUiCONE), 2012 Nirma University International Conference on, (Dec 2012), pp. 1–6
V.M. Aradhya, G.H. Kumar, S. Noushath, Multilingual OCR system for south Indian scripts and English documents: an approach based on Fourier transform and principal component analysis. Eng. Appl. Artif. Intell. 21(4), 658–668 (2008)
V.M. Aradhya, M. Pavithra, A comprehensive of transforms, Gabor filter and k-means clustering for text detection in images and video. Appl. Comput. Inf. (2014)
P.N. Sastry, T.R. Vijaya Lakshmi, N.V.K. Rao, T.V. Rajinikanth, A. Wahab, Telugu handwritten character recognition using Zoning features, in International Conference on IT Convergence and Security (ICITCS), (Beijing, 2014), pp. 1–4
T.R. Vijaya Lakshmi, P.N. Sastry, T.V. Rajinikanth, Recognition of isolated Telugu handwritten characters using 2D FFT, in Proceedings of the 2nd International Conference on Advanced Computing Methodologies, ser. ICACM’13, (2013), pp. 372–376
T.R. Vijaya Lakshmi, P.N. Sastry, T.V. Rajinikanth, Hybrid approach for Telugu handwritten character recognition using k-NN and SVM classifiers. Int. Rev. Comput. Softw. 10(9), 923–929 (2015)
Acknowledgements
The proposed work is sponsored by AICTE under Research Promotion Scheme and so the authors thank AICTE for motivating to do this work which is, useful to the society.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Sastry, P.N., Vijaya Lakshmi, T.R., Koteswara Rao, N.V., RamaKrishnan, K. (2017). A 3D Approach for Palm Leaf Character Recognition Using Histogram Computation and Distance Profile Features. In: Satapathy, S., Bhateja, V., Udgata, S., Pattnaik, P. (eds) Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications . Advances in Intelligent Systems and Computing, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-10-3156-4_40
Download citation
DOI: https://doi.org/10.1007/978-981-10-3156-4_40
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-3155-7
Online ISBN: 978-981-10-3156-4
eBook Packages: EngineeringEngineering (R0)