23.4.6 Roman Alphabet

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OCR. Character Recognition.

23.4.6.1 Roman Alphabet -- Machine Printed

Chapter Contents (Back)
OCR.

Flowers, J.,
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Highleyman, W.H.,
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Hård, S.[Sverker], Feuk, T.[Tore],
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PR(5), No. 2, June 1973, pp. 75-82.
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Lashas, A., Shurna, R., Verikas, A., Dosinas, A.,
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Voisin, J., Devijver, P.A.,
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Earlier: ICPR86(1087-1089). BibRef

Goshtasby, A., Ehrich, R.W.,
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PR(21), No. 5, 1988, pp. 455-462.
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Sinha, R.M.K., Prasada, B.,
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PR(21), No. 5, 1988, pp. 463-479.
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Gotoh, T., Toriu, T., Sasaki, S., Yoshida, M.,
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PAMI(10), No. 3, May 1988, pp. 393-399.
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Ho, T.K., Hull, J.J., Srihari, S.N.,
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Hull, J.J., Khoubyari, S., and Ho, T.K.,
Word Image Matching as a Technique for Degraded Text Recognition,
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Hong, T., Hull, J.J.,
Algorithms for postprocessing OCR results with visual inter-word constraints,
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Hong, A., Hull, J.J.,
Improving OCR Performance with Word Image Equvalence,
SDAIR95(177-189). BibRef 9500

Hull, J.J.,
A Hidden Markov Model for Language Syntax in Text Recognition,
ICPR92(II:124-127).
IEEE DOI Link BibRef 9200

Hull, J.J.,
Word Shape Analysis in a Knowledge-Based System for Reading Text,
CAIA85(114-119). BibRef 8500

Pavlidis, T.[Theo],
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Hull, J.J.,
Incorporating Language Syntax in Visual Text Recognition with a Statistical-Model,
PAMI(18), No. 12, December 1996, pp. 1251-1255.
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Recognition of words based on syntax and the language to improve OCR. BibRef

Kuo, S.S., Agazzi, O.E.,
Keyword Spotting In Poorly Printed Documents Using Pseudo-2D Hidden Markov-Models,
PAMI(16), No. 8, August 1994, pp. 842-848.
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Earlier:
Visual keyword recognition using hidden Markov models,
CVPR93(329-334).
IEEE DOI Link 0403
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Agazzi, O.E.[Oscar E.], Kuo, S.S.[Shyh-Shiaw],
Hidden markov model based optical character recognition in the presence of deterministic transformations,
PR(26), No. 12, December 1993, pp. 1813-1826.
WWW Version. 0401
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Yen, C.C.[Chin-Ching], Kuo, S.S.[Shyh-Shiaw],
Degraded Gray-Scale Text Recognition Using Pseudo-2D Hidden Markov-Models and N-Best Hypotheses,
GMIP(57), No. 2, March 1995, pp. 131-145. BibRef 9503
Earlier:
On the use of duration-corrected N-best hypotheses for text recognition in gray-scale document images,
ICIP95(III: 332-335).
IEEE DOI Link 9510
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Bose, C.B., Kuo, S.S.,
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PR(27), No. 10, October 1994, pp. 1345-1363.
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Earlier: ICPR92(II:116-119).
IEEE DOI Link 9208
BibRef

Lazzerini, B., Marcelloni, F., Reyneri, L.M.,
Beatrix: A Self-Learning System for Off-Line Recognition of Handwritten Texts,
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Rahman, A.F.R., Fairhurst, M.C.,
Machine-Printed Character Recognition Revisited: Re-Application of Recent Advances in Handwritten Character Recognition Research,
IVC(16), No. 12-13, 24 August 1998, pp. 819-842.
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Wu, H.H.P.[Hsien-Huang P.],
Patient information extraction in digitized X-ray imagery,
IVC(22), No. 3, 1 March 2004, pp. 215-226.
WWW Version. 0402
Get the ID number on the film. BibRef

He, Z., Liu, J., Ma, H., Li, P.,
A New Automatic Extraction Method of Container Identity Codes,
ITS(6), No. 1, March 2005, pp. 72-78.
IEEE Abstract. 0501
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Nikolaou, N.[Nikos], Makridis, M.[Michael], Gatos, B.[Basilis], Stamatopoulos, N.[Nikolaos], Papamarkos, N.[Nikos],
Segmentation of historical machine-printed documents using Adaptive Run Length Smoothing and skeleton segmentation paths,
IVC(28), No. 4, April 2010, pp. 590-604.
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Text line segmentation; Word segmentation; Character segmentation; Historical machine-printed documents; Run Length Smoothing Algorithm BibRef


Saikrishna, P., Ramakrishnan, A.G.,
Script independent detection of bold words in multi font-size documents,
NCVPRIPG13(1-4)
IEEE DOI Link 1408
character sets BibRef

Pal, U., Kimura, F., Roy, K., Pal, T.,
Recognition of English Multi-oriented Characters,
ICPR06(II: 873-876).
IEEE DOI Link 0609
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Goccia, M., Scagliola, C., Dellepiane, S.G.,
Learning optimal classifier through fuzzy recognition rate maximization,
ICPR04(I: 204-207).
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Goccia, M., Bruzzo, M., Scagliola, C., Dellepiane, S.G.,
Recognition of container code characters through gray-level feature extraction and gradient-based classifier optimization,
ICDAR03(973-977).
IEEE Abstract. 0311
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Igual, I.S., Garcia, G.A., Jimenez, A.P.,
Preprocessing and recognition of characters in container codes,
ICPR02(III: 143-146).
IEEE DOI Link 0211
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Aas, K.[Kjersti],
Verification of Batch Numbers on Plastic Vials,
SCIA01(O-Th4B). 0206
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Fujisawa, H.,
Optimum Design Parameters of the Classifiers for Omni-font Machine-printed Numeral Recognition Based on the Minimum Classification Error Criterion,
MVA98(xx-yy). BibRef 9800

Garain, U.[Utpal], Chaudhuri, B.B.,
Automatic Detection of Italic, Bold and All-Capital Words in Document Images,
ICPR98(Vol I: 610-612).
IEEE DOI Link 9808
BibRef

Gomez, J.M., Lopez, O., Montes, M., Bota, S.A., Juvells, I., Herms, A.,
Implementation and design of a new model of neural network with application to typographical character recognition,
ICIP96(II: 201-204).
IEEE DOI Link 9610
BibRef

Kovacs-Vajna, Z.M.,
A System for Reading Low Quality Characters from Printouts,
ICPR96(III: 185-189).
IEEE DOI Link 9608
(Univ. di Bologna, I) BibRef

Chen, C.H., and de Curtins, J.L.,
Word Recognition in a Segmentation-Free Approach to OCR,
ICDAR93(573-576). BibRef 9300

Chen, C.H., de Curtins, J.L.,
A segmentation-free approach to OCR,
WACV92(190-196).
IEEE Abstract. 0403
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Hanlon, S., Boyle, R.,
Evaluating a Hidden Markov Model of Syntax in a Text Recognition System,
BMVC92(462-471).
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Kumar, S.U., Kasturi, R.,
Text data extraction from microfilm images of punched cards,
ICPR92(II:230-233).
IEEE DOI Link 9208
BibRef

Chen, C.H., You, G.H.,
ISBN recognition using a modified probabilistic neural network (PNN),
ICPR92(II:419-421).
IEEE DOI Link 9208
BibRef

Vidal, E., Rulot, H., Valiente, J.M., Andreu, G.,
Font-independent mixed-size digit recognition through error-correcting grammatical inference (ECGI),
ICPR92(II:334-337).
IEEE DOI Link 9208
BibRef

Du, J., Liu, H.,
Flexible Recognition Algorithms and Flexible OCR System,
ICPR88(II: 655-657).
IEEE DOI Link
IEEE Top Reference. BibRef 8800

Tanaka, H., Kogawara, A.,
High Speed String Edit Methods Using Hierarchical Files and Hashing Technique,
ICPR88(I: 334-336).
IEEE DOI Link
IEEE Top Reference. BibRef 8800

Ohkura, M., Shiono, M.,
On the Intra-Category Clustering to Make Multidictionary Patterns for Multidictionary Template Matching Method,
ICPR88(II: 1029-1031).
IEEE DOI Link
IEEE Top Reference. BibRef 8800

Cannat, J.J., Kodratoff, Y., Moscatelli, S.,
Learning Techniques Applied to Multi-Font Character Recognition,
ICPR86(123-125). BibRef 8600

Holbaek-Hanssen, E., Braten, K., Taxt, T.,
A General Software System for Supervised Statistical Classification of Symbols,
ICPR86(144-149). BibRef 8600

Tanaka, E., Kohashiguchi, T., Shimamura, K.,
High Speed String Correction for OCR,
ICPR86(340-343). BibRef 8600

Casey, R.G.,
Text OCR by Solving a Cryptogram,
ICPR86(349-351). BibRef 8600

Maier, M.,
Separating Characters in Scripted Documents,
ICPR86(1056-1058). BibRef 8600

Geller, J.,
The Teachable Letter Recognizer,
IJCAI85(249-251). BibRef 8500

Pavlidis, T.,
Effects of Distortions on the Recognition Rate of a Structural OCR System,
CVPR83(303-309). BibRef 8300

Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Handwritten Characters, Roman, Latin Alphabet .


Last update:Aug 30, 2014 at 15:34:18