Brazilian bank check handwritten legal amount recognition

Brazilian Symposium of Computer Graphic and Image Processing

Volumn 2000-January, Issue , 2000, Pages 97-104

  De Almendra Freitas, Cinthia Obladen ^a   El Yacoubi, Abdenaim ^a   Bortolozzi, Flávio ^a   Sabourin, Robert ^b  

^a PONTIFICAL CATHOLIC UNIVERSITY OF PARANÁ   (Brazil)

^b ÉCOLE DE TECHNOLOGIE SUPÉRIEURE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; COMPUTER GRAPHICS; FEATURE EXTRACTION; HIDDEN MARKOV MODELS; MARKOV PROCESSES;

BANK CHECKS; KEY WORDS; LEGAL AMOUNT; PRE-PROCESSING; WORD IMAGES;

IMAGE PROCESSING;

EID: 84875595063     PISSN: 15301834     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIBGRA.2000.883901     Document Type: Conference Paper

References (18)

1. M. Ävila, Optimisation de Modeles Markoviens pour la Reconnaissance de L'écrit, Thèse de doctorat, Université de Rouen, France, 1794.
2. M.Y. Chen, and A. Kundu, An alternative to variable duration HMM in handwritten word recognition, IWFHR'93, 1793, 82-91.
3. M. Côte, Utilisation d'un modèle d'accès lexical et de concepts perceptifs pour la reconnaissance d'images de mots cursifs, Thèse de doctorat, École Nationale Supérieure des Télécommunications, France, 1797.
4. J. Favata, and S. Srihari, Recognition of general handwritten words using a hypothesis generation and reduction methodology, Proc. United State Postal Service Advanced Technology Conference, Washington DC, 1792, 237-253.
5. D. Guillevic, Unconstrained Handwriting Recognition Applied to the Processing of Bank Cheques, Thesis of Doctor's Degree in the Department of Computer Science at Concordia Uiversity, Canada, 1795.
6. J.J. Hull, and R.K. Fenrich, Large database organization for document images, In: Fundamentals in Handwriting Recognition, Edited by Sabastiano Impedovo, Nato ASI Series, Vol. 124, 1793, 397-414.
7. J.J. Hull, A database for handwritten text recognition research, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 16, No. 5, 1794, 550-554.
8. G. Kim, Recognition of offline handwritten words and its extension to phrase recognition, PhD Thesis, University of New York at Buffalo, USA, 1796.
9. S. Knerr, V. Anisimov, O. Baret, D. Price, J. C. Simon, The A2iA recognition system for handwritten checks, A2iA Technical Report, No.11, 1796.
10. E. Lecolinet, Segmentation d'images de mots manuscrits: application à la lecture de chaînes de caractères majuscules alphanumériques et à la lecture de Vécriture cursive, Thèse de doctorat, Universite Pierre et Marie Curie (Paris VI), France, 1790.
11. S. Madhvanath, V. Govindaraju, Perceptual features for off-line handwritten word recognition: a framework for heuristc prediction, representation and matching, Advances in Pattern Recognition, Sidney, Australia, 1798.
12. N. Otsu, A threshold selection method from graylevel histograms, IEEE Transations Systems, Man. and Cybernetics, SMC 9, Vol.1, 1779, 63-66.
13. L. Rabiner, B.H. Juang, Fundamentals of speech recognition. Prentice Hall Inc., London, UK, 1793.
14. L. Schomaker and E. Segers, A method for the determination of features used in human reading od cursive handwriting, IWFHR, Korea, 1798, 157-168.
15. N.W. Strathy, A method for segmentation of touching handwritten numerals, Master's thesis, Concordia University, Montreal-Canada, 1793.
16. O.D. Trier, A.K. Jain, T. Taxt, Feature extraction methods for character recognition - a survey, Pattern Recognition, vol. 29, No. 4, 641-662p.
17. A. El Yacoubi, Modélisation Markovienne de l'écriture manuscrite Application à la reconnaissance des adresses postales. Thèse de Doctorat, Universite de Rennes, France, 1796.
18. A. El Yacoubi, M. Gilloux, R. Sabourin and C.Y. Suen, Unconstrained handwritten word recognition using hidden markov models, IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol.2, No.8, 1799, 752-760p.