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Structured based Feature Extraction of Handwritten Marathi word
by
C.Namrata Mahender,
K.V.Kale
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 16 - Number 6 |
| Year of Publication: 2011 |
| Authors: C.Namrata Mahender, K.V.Kale |
10.5120/2013-2718
|
C.Namrata Mahender, K.V.Kale . Structured based Feature Extraction of Handwritten Marathi word. International Journal of Computer Applications. 16, 6 ( February 2011), 42-47. DOI=10.5120/2013-2718
@article{
10.5120/2013-2718,
author = {
C.Namrata Mahender,
K.V.Kale
},
title = { Structured based Feature Extraction of Handwritten Marathi word },
journal = {
International Journal of Computer Applications
},
issue_date = { February 2011 },
volume = { 16 },
number = { 6 },
month = { February },
year = { 2011 },
issn = { 0975-8887 },
pages = {
42-47
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume16/number6/2013-2718/
},
doi = { 10.5120/2013-2718 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:04:12.645819+05:30
%A C.Namrata Mahender
%A K.V.Kale
%T Structured based Feature Extraction of Handwritten Marathi word
%J International Journal of Computer Applications
%@ 0975-8887
%V 16
%N 6
%P 42-47
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Writing which has been the most natural method of collecting, storing and transmitting information through the centuries, now serves not only for the communication among humans, but also for the communication of humans and machines. The free style handwriting recognition is difficult not only because of the great amount of variations involved in the shape of characters, but also because of the overlapping and the interconnection of the neighboring characters.
References
- R.Phamondon and S.N Shrihari, ”On-line and Offline Handwriting Recognition: A comprensive survey, IEEE Transaction on Pattern Analysis and Machine Intelligence”, 22, 63-84,2000.
- C.Y.Suen,R.Legault,C.Nadal,M.Cheriet and L.Lam, “Building a new generation of handwriting recognition systems, Pattern Recognition Letters, 14,305-315,1993.
- S.Impedovo, L.Ottaviano and S.Occhinegro,” Optical Character Recognition – a survey”, International Journal of Pattern Recognition and AI, 5,1-24,1991.
- Jean.R.Ward and Thedore Kuklinski, “A Model for Variability effects in Handwriting Character Recognition Systems in IEEE Trans Sys.Man.Cybernatics, Vol 18, No 3, pp 438-451, 1988.
- L.Lam, S.W. Lee and C.Y.Suen, “Thining Methodologies. A Comprehensive survey”,IEEE Trans. Pattern recognition and Machine Intelligence, Vol.14,pp.869-885,1992.
- A.C.Downtown, C.G.Leedham, “Preprocessing and Presorting of Envelope Images for Automatic Sorting Using OCR”, Pattern Recognition, Vol:23, No:3-4,pp: 347-362,1990.
- S.N. Shrihari and S.W.Law, “Character Recognition, Technical Report”, CEDAR-TR-95-1.
- C.Weliwilage, A. Harvey, A.Jennings, “Whole of word Recognition Methods for Cursive Script”.
- W.K.Pratt,1991 Digital Image Processing,wiley interscience.
- R.G.Casey, “Moment Normalization of Handprinted Characters”,IBM Journal of Research Development, 548-557, 1970.
- R.S.Gonzales,P.Wintz,Digital Image Processing Addison-wesley publishing co,1987.
- M.Y.Chen,A.Kundu and J.Zhou,”Offline Handwritten Word Recognition using a Hidden Markov Model Type Stochastic Network”,IEEE Trans.Pattern recognition and Machine Intelligence,vol.16,pp.481-496,1994.
- A.Atici,Fatos,Yarman-Vural, “A heuristic method for Arabic Character recognition” , journal of signal processing,vol 62,pp.87-99,1997.
- R.G. Casey and E.Lecolinet, “ A survey of methods and stratergies in character segmentation”, IEEE Trans. Pattern recognition and Machine Intelligence, Vol.18,pp.690-706,1996.
- C.E Dunn and P.S.P.Wang, “Character Segmentation techniques for Handwritten Text –A survey”, Proc. of 11th International Con on Pattern Recognition”, The Hague, The NetherLands, pp 577-580, 1992.
- C.Y.Suen, “Character Recognition by Computer and Applications in Handbook of Pattern Recognition and Image processing”, Young T.Y, Fu, King-Su, Academic Press in San Diego, CA, 569-586, 1986.
- M.Shridhar and a Badreldin,”Recognition of Isolated and Simply Connected handwritten Numerals’, Pattern Recognition”, Vol 19, No 1, pp1-12, 1986.
- W .Y.Kim. and P.Yuan, “A practical Pattern Recognition System for Translation, Scale and Rotation Invariance”, CVPR`94,Seattle, Washington,June 1994.
- C.Y.Suen, M.Berthod and S.Moris, “Automatic Recognition of Handprinted Characters -the state of the Art”, Proceeding of the IEEE Vol:68, No 4,pp 469-487, 1980.
- Mohiuddin and J.Mao, A Comparative study of different classifiers for handprinted character recognition, Pattern Recognition pp. 437-448,1994.
- A. J.Elms, “A connected character recognizer using Level Building of HMMs”, IEEE 12TH IAPR International Conference on Pattern Recognition IIpp. 439-441,1994.
- A.Kundu,Y.He and P.Bhal, “ Recognition of Handwritten word: First and second order HMM based Approach”, Pattern Recognition, Vol 22, pp. 283-297,1989.
- Siganesh Madhavanath and V.Govindaraju,” The Role of Holistic Paradigm in Handwritten Word Recognition”, IEEE PAMI, Vol 23, No2, Feb-2001.
- Watanable, LQin, N. Sugie. “Structure Recognition Methods for Various Types of Documents”, Machine vision and Applications vol, no 6, pp163-176 1993
- J. Rocha , T. Pavilidis. “A Shape Analysis Model” ,IEEE Tran on Pattern and machine Intelligence , Vol.16,No.4,pp394-404,1994.
- R.M.Gray,” Vector Quantization”, “Readings in Speech Recognition Morgan Kaufmann Publishers”,Inc., pp.75-100,1990.
- A.K.Jain and R.C.Dubes,” Algorithm for Clustering Data”,Prentice Hall, Englewood Cliffs, 1998.
Index Terms
Computer Science
Information Sciences
Keywords