25.4.6 Roman Alphabet

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OCR. Character Recognition.

25.4.6.1 Roman Alphabet -- Machine Printed

Chapter Contents (Back)
OCR.

Flowers, J.,
Digital Type Manufacture: An Interactive Approach,
Computer(17), No. 5, 1984, pp. 40-48. BibRef 8400

Highleyman, W.H.,
Data for Character Recognition Studies,
TC(12), March 1963, pp. 135-136. BibRef 6303

Hård, S.[Sverker], Feuk, T.[Tore],
Character recognition by complex filtering in reading machines,
PR(5), No. 2, June 1973, pp. 75-82.
Elsevier DOI 0309
BibRef

Lashas, A., Shurna, R., Verikas, A., Dosinas, A.,
Optical Character Recognition Based on Analog Preprocessing and Automatic Feature Extraction,
CVGIP(32), No. 2, November 1985, pp. 191-207.
Elsevier DOI Extract strokes. BibRef 8511

Voisin, J.[Jean], Devuver, P.A.[Pierre A.],
An Application Of The Multiedit-Condensing Technique to the Reference Selection Problem in a Print Recognition System,
PR(20), No. 5, 1987, pp. 465-474.
Elsevier DOI BibRef 8700
Earlier: ICPR86(1087-1089). Templates with large number of classes. BibRef

Goshtasby, A.[Ardeshir], Ehrich, R.W.[Roger W.],
Contextual Word Recognition Using Probabilistic Relaxation Labeling,
PR(21), No. 5, 1988, pp. 455-462.
Elsevier DOI transition probabilities between characters. BibRef 8800

Sinha, R.M.K., Prasada, B.,
Visual Text Recognition Through Contextual Processing,
PR(21), No. 5, 1988, pp. 463-479.
Elsevier DOI Use dictionary. BibRef 8800

Gotoh, T., Toriu, T., Sasaki, S., Yoshida, M.,
A Flexible Vision-Based Algorithm for a Book Sorting System,
PAMI(10), No. 3, May 1988, pp. 393-399.
IEEE DOI BibRef 8805

Ho, T.K., Hull, J.J., Srihari, S.N.,
A Word Shape Analysis Approach to Recognition of Degraded Word Images,
PRL(13), 1992, pp. 821-yy. BibRef 9200

Li, L., Ho, T.K., Hull, J.J., Srihari, S.N.,
A hypothesis testing approach to word recognition using dynamic feature selection,
ICPR92(II:586-589).
IEEE DOI 9208
BibRef

Hull, J.J., Khoubyari, S., and Ho, T.K.,
Word Image Matching as a Technique for Degraded Text Recognition,
ICPR92(II:665-668).
IEEE DOI BibRef 9200

Hong, T., Hull, J.J.,
Algorithms for postprocessing OCR results with visual inter-word constraints,
ICIP95(III: 312-315).
IEEE DOI 9510
BibRef

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 BibRef 9200

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

Pavlidis, T.[Theo],
Recognition of Printed Text under Realistic Conditions,
PRL(14), No. 4, April 1993, pp. 317-326. BibRef 9304

Hull, J.J.,
Incorporating Language Syntax in Visual Text Recognition with a Statistical-Model,
PAMI(18), No. 12, December 1996, pp. 1251-1255.
IEEE DOI 9701
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.
IEEE DOI BibRef 9408
Earlier:
Visual keyword recognition using hidden Markov models,
CVPR93(329-334).
IEEE DOI 0403
BibRef

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.
Elsevier DOI 0401
BibRef

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 9510
BibRef

Bose, C.B.[Chinmoy B.], Kuo, S.S.[Shyh-Shiaw],
Connected and Degraded Text Recognition Using Hidden Markov Model,
PR(27), No. 10, October 1994, pp. 1345-1363.
Elsevier DOI BibRef 9410
Earlier: ICPR92(II:116-119).
IEEE DOI 9208
BibRef

Lazzerini, B., Marcelloni, F., Reyneri, L.M.,
Beatrix: A Self-Learning System for Off-Line Recognition of Handwritten Texts,
PRL(18), No. 6, June 1997, pp. 583-594. 9710
BibRef

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.
Elsevier DOI BibRef 9808

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.
Elsevier DOI 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
BibRef


Jouanne, J.[Jonathan], Dauchy, Q.[Quentin], Awal, A.M.[Ahmad Montaser],
PYRAD-DCNN: A Fully Convolutional Neural Network to Replace BLSTM in Offline Text Recognition Systems,
CADL20(647-661).
Springer DOI 2103
BibRef

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

Pal, U., Kimura, F., Roy, K., Pal, T.,
Recognition of English Multi-oriented Characters,
ICPR06(II: 873-876).
IEEE DOI 0609
BibRef

Goccia, M., Scagliola, C., Dellepiane, S.G.,
Learning optimal classifier through fuzzy recognition rate maximization,
ICPR04(I: 204-207).
IEEE DOI 0409
BibRef

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 DOI 0311
BibRef

Igual, I.S., Garcia, G.A., Jimenez, A.P.,
Preprocessing and recognition of characters in container codes,
ICPR02(III: 143-146).
IEEE DOI 0211
BibRef

Aas, K.[Kjersti],
Verification of Batch Numbers on Plastic Vials,
SCIA01(O-Th4B). 0206
BibRef

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 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 9610
BibRef

Kovacs-Vajna, Z.M.,
A System for Reading Low Quality Characters from Printouts,
ICPR96(III: 185-189).
IEEE DOI 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 DOI 0403
BibRef

Hanlon, S., Boyle, R.,
Evaluating a Hidden Markov Model of Syntax in a Text Recognition System,
BMVC92(462-471).
PDF File. BibRef 9200

Kumar, S.U., Kasturi, R.,
Text data extraction from microfilm images of punched cards,
ICPR92(II:230-233).
IEEE DOI 9208
BibRef

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

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

Tanaka, H., Kogawara, A.,
High Speed String Edit Methods Using Hierarchical Files and Hashing Technique,
ICPR88(I: 334-336).
IEEE DOI 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 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:Mar 16, 2024 at 20:36:19