{"title":"OCR for Script Identification of Hindi (Devnagari) Numerals using Feature Sub Selection by Means of End-Point with Neuro-Memetic Model ","authors":"Banashree N. P., R. Vasanta","volume":4,"journal":"International Journal of Computer and Information Engineering","pagesStart":883,"pagesEnd":888,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/15303","abstract":"Recognition of Indian languages scripts is challenging problems. In Optical Character Recognition [OCR], a character or symbol to be recognized can be machine printed or handwritten characters\/numerals. There are several approaches that deal with problem of recognition of numerals\/character depending on the type of feature extracted and different way of extracting them. This paper proposes a recognition scheme for handwritten Hindi (devnagiri) numerals; most admired one in Indian subcontinent. Our work focused on a technique in feature extraction i.e. global based approach using end-points information, which is extracted from images of isolated numerals. These feature vectors are fed to neuro-memetic model [18] that has been trained to recognize a Hindi numeral. The archetype of system has been tested on varieties of image of numerals. . In proposed scheme data sets are fed to neuro-memetic algorithm, which identifies the rule with highest fitness value of nearly 100 % & template associates with this rule is nothing but identified numerals. Experimentation result shows that recognition rate is 92-97 % compared to other models. ","references":"[1] Hussain & Kabuka M.R, \"A novel feature recognition Neural network &\r\nits application to character recognition\", IEEE TRANS, PAML, Volume\r\n16, 1994, pp-98-106.\r\n[2] B.Yegnanarayan, Artificial Neural Network, Prentice Hall of India\r\nPrivate limited, New Delhi, fourth edition, 2001.\r\n[3] H.K. Lam, S.H. Ling, F.H.F Leung, and P.K.S. Tam Tuning of the\r\nstructure and Parameters of neural network using an improved genetic\r\nalgorithm, in Proc. 27th Annual Conf. of the IEEE Industrial Electronics\r\nSociety (IECON 01), Denver, Colorado, 29 Nov.-2 Dec. 2001, pp. 25-\r\n30.\r\n[4] N. J. Radcliffe, and P. D. Surry \"Formal Memetic Algorithms,\"\r\nEvolutionary Computing, Springer- Verlag, Berlin, 1994 pp, 1-16.\r\n[5] Jacek, M. Zurada, \"Introduction to Artificial Neural Network System\"\r\nJaico Publishing house, third edition 1999.\r\n[6] M.Hanamandhu, M Vamshi Krishna & P.Chaitanya Kumar, \"Some\r\napproach to recognition of handwritten Numeral\" National Conference\r\non document analysis& recognition, NCDAR, 2001, pp 35-38.\r\n[7] Alessandro Vinciarelli(2002,A survey on offline cursive word\r\nrecognition pattern recognition , 35:1433.\r\n[8] Ahmed,S.M,et.al ,(nov.1995)Experiments in character recognition to\r\ndevelop tools for an optical character recognition system,IEEE inc.1st\r\nNational multi topic conf proc.nust ,rawalpindi, pakistan,pp 61-67.\r\n[9] Alexandre lemieux,christian gagne & marc Parizeau (2002).Genetically\r\nEngineering of Handwriting Representations proc. of the international\r\nworkshop on frontiers in handwriting Recognition (IWFHR), Nigagaraon-\r\nlake.August 6-8.\r\n[10] Bortolozzi, F., Britto Jr, .A Oliveira, L.S and Morita, M., (2005, recent\r\nAdvances in handwriting Recognition. in umapada pal et al editors,\r\nDocumnet Analysis, 1-31.\r\n[11] Gader P.D., Forester B., Ganzberger M., A. Bilies, B Mitchell, M .halen,\r\nT.Youeum (1991).Recognition of handwritten digits using template &\r\nmodel matching.Pattern recognition, 5(24):421-431.\r\n[12] Govinda, V.K & Shivaprasad, A P (1990), Character recognition-a\r\nreview, Pattern recognition .23:671-683.\r\n[13] Hebert Jean-Fran\u251c\u00baois, Parizeau Marc & Nadia Ghazali(1998).A new\r\nfuzzy geometric representation for on-line isolated character\r\nrecognition.proc of 14th international conference on Pattern\r\nrecognition,Brisbane:1121-1123.\r\n[14] Mantas, J (1986), An overview of character recognition Methodologies,\r\nPattern recognition, 19(1986)425-430.\r\n[15] Suen, C.Y .,Berthod, M., & Mori,S (1980), Automatic Recognition of\r\nhand printed character-the state of atr , proceeding of IEEE.68(1980)\r\n469-487.\r\n[16] Nouboud,F., & Plamondon,(1990).Online Recognition of hand printed\r\nchracter:survey and beta tests, pattern recognition,23:1031-1044.\r\n[17] Plamondon Rejean & sargur N, Srihari, (2000), on line & off line\r\nhandwriting recognition: A comprehensive survey IEEE Transactions on\r\nPAMI.22 (1):63-84.\r\n[18] Prof K.A Sumithra Devi, N.P Banashree & Dr Annamma Abraham, \"An\r\nEvolutionary time-series Model For partitioning a Circuit pertaining to\r\nVLSI Design using Neuro-memetic Algorithm \",in proc. 4th IASTED\r\nInternational Conference on Circuit, signal & system, San\r\nFrancisco,USA , 20 Nov.-22 Nov .2006,pp 325-329.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 4, 2007"}