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9708
Analyze correlation method.
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Optimized gabor filter based feature extraction for character
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Urolagin, S.[Siddhaling],
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Ait-Mohand, K.[Kamel],
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PAMI(36), No. 9, September 2014, pp. 1716-1732.
IEEE DOI
1408
Adaptation models
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Mohand, K.A.[Kamel Ait],
Paquet, T.[Thierry],
Ragot, N.[Nicolas],
Heutte, L.[Laurent],
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IEEE DOI
1008
BibRef
Lagorce, X.[Xavier],
Orchard, G.[Garrick],
Galluppi, F.[Francesco],
Shi, B.E.[Bertram E.],
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IEEE DOI
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Biosensors, Cameras, Character recognition, Feature extraction,
Object recognition, Visualization, Neuromorphic sensing,
event-based vision, feature extraction.
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Sahare, P.[Parul],
Dhok, S.B.[Sanjay B.],
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1708
Survey, Script.
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Benchaou, S.[Soukaina],
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1807
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Soukaina, B.,
Nasri, M.,
Aouinti, F.,
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El Melhaoui, O.,
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Application to the Classification of Characters,
CGiV16(405-409)
IEEE DOI
1608
character recognition
BibRef
Ding, H.S.[Hai-Song],
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Compressing CNN-DBLSTM models for OCR with teacher-student learning
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PR(96), 2019, pp. 106957.
Elsevier DOI
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Optical character recognition, CNN-DBLSTM Character model,
Model compression, Teacher-student learning, Tucker decomposition
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Parashivamurthy, R.[Ravi],
Naveena, C.[Chikkaguddaiah],
Kumar, Y.H.S.[Yeliyur Hanumathiah Sharath],
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BibRef
Guptha, N.S.[Nirmala S],
Balamurugan, V.,
Megharaj, G.[Geetha],
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Rose, J.D.[J. Dhiviya],
Cross lingual handwritten character recognition using long short term
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PRL(159), 2022, pp. 16-22.
Elsevier DOI
2206
Enhanced local binary pattern, Gaussian filter,
Inverse difference moment normalized, Projection profile technique
BibRef
Da, C.[Cheng],
Wang, P.[Peng],
Yao, C.[Cong],
Levenshtein OCR,
ECCV22(XXVIII:322-338).
Springer DOI
2211
BibRef
Reeves, S.I.[Steven I.],
Lee, D.W.[Dong-Wook],
Singh, A.[Anurag],
Verma, K.[Kunal],
A Gaussian Process Upsampling Model for Improvements in Optical
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ISVC20(II:263-274).
Springer DOI
2103
BibRef
Yousef, M.,
Bishop, T.E.,
OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page
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CVPR20(14698-14707)
IEEE DOI
2008
Image segmentation, Text recognition, Training,
Image recognition,
Task analysis
BibRef
Zhao, H.,
Hu, Y.,
Zhang, J.,
Character Recognition via a Compact Convolutional Neural Network,
DICTA17(1-6)
IEEE DOI
1804
document image processing, feature extraction,
learning (artificial intelligence), natural scenes, neural nets,
Optical character recognition software
BibRef
Peixoto, S.[Sirlene],
Gonçalves, G.[Gabriel],
Bianchi, A.[Andrea],
Brito, A.D.[Alceu De_S.],
Schwartz, W.R.[William Robson],
Menotti, D.[David],
Noisy Character Recognition Using Deep Convolutional Neural Networks,
CIARP17(499-507).
Springer DOI
1802
BibRef
Tripathy, N.,
Chakraborti, T.,
Nasipuri, M.,
Pal, U.,
A scale and rotation invariant scheme for multi-oriented Character
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ICPR16(4041-4046)
IEEE DOI
1705
Character recognition, Clustering algorithms,
Optical character recognition software,
Principal component analysis, Support vector machines,
Text recognition, Indic script,
Optical Character Recognition (OCR),
Principal Component Analysis (PCA),
Rotation-invariant scale-invariant features, Support, Vector,
Machine, (SVM)
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Stearns, L.[Lee],
Du, R.F.[Ruo-Fei],
Oh, U.[Uran],
Wang, Y.M.[Yu-Meng],
Findlater, L.[Leah],
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Froehlich, J.E.[Jon E.],
The Design and Preliminary Evaluation of a Finger-Mounted Camera and
Feedback System to Enable Reading of Printed Text for the Blind,
ACVR14(615-631).
Springer DOI
1504
BibRef
Hollaus, F.[Fabian],
Diem, M.[Markus],
Sablatnig, R.[Robert],
Improving OCR Accuracy by Applying Enhancement Techniques on
Multispectral Images,
ICPR14(3080-3085)
IEEE DOI
1412
Accuracy
BibRef
Jin, X.J.[Xiao-Jie],
Wang, Q.F.[Qiu-Feng],
Hou, X.W.[Xin-Wen],
Liu, C.L.[Cheng-Lin],
Visual Gesture Character String Recognition by Classification-Based
Segmentation with Stroke Deletion,
ACPR13(120-124)
IEEE DOI
1408
geometry
BibRef
Miyoshi, T.,
Nagasaki, T.,
Shinjo, H.,
Moment-Based Character-Normalization Methods Using a Contour Image
Combined with an Original Image,
ICDAR13(1066-1070)
IEEE DOI
1312
feature extraction
BibRef
Kozielski, M.[Michal],
Forster, J.[Jens],
Ney, H.[Hermann],
Moment-Based Image Normalization for Handwritten Text Recognition,
FHR12(256-261).
IEEE DOI
1302
BibRef
Pesch, H.[Hendrik],
Hamdani, M.[Mahdi],
Forster, J.[Jens],
Ney, H.[Hermann],
Analysis of Preprocessing Techniques for Latin Handwriting Recognition,
FHR12(280-284).
IEEE DOI
1302
BibRef
Nina, O.A.[Oliver A.],
Interactive Enhancement of Handwritten Text through Multi-resolution
Gaussian,
FHR12(769-773).
IEEE DOI
1302
BibRef
Jain, R.,
Chaudhury, S.,
Probabilistic Approach for Correction of Optically-Character-Recognized
Strings Using Suffix Tree,
NCVPRIPG11(74-77).
IEEE DOI
1205
BibRef
Lund, W.B.[William B.],
Walker, D.D.[Daniel D.],
Ringger, E.K.[Eric K.],
Progressive Alignment and Discriminative Error Correction for Multiple
OCR Engines,
ICDAR11(764-768).
IEEE DOI
1111
BibRef
Lund, W.B.[William B.],
Ringger, E.K.[Eric K.],
Error Correction with In-domain Training across Multiple OCR System
Outputs,
ICDAR11(658-662).
IEEE DOI
1111
BibRef
Perez-Cortes, J.C.[Juan-Carlos],
Llobet, R.[Rafael],
Navarro-Cerdan, J.R.[Jose-Ramon],
Arlandis, J.[Joaquim],
Using Field Interdependence to Improve Correction Performance in a
Transducer-Based OCR Post-Processing System,
FHR10(605-610).
IEEE DOI
1011
BibRef
And: A3, A4, A1, A2:
User-Defined Expected Error Rate in OCR Postprocessing by Means of
Automatic Threshold Estimation,
FHR10(405-409).
IEEE DOI
1011
BibRef
And: A2, A3, A1, A4:
OCR Post-processing Using Weighted Finite-State Transducers,
ICPR10(2021-2024).
IEEE DOI
1008
BibRef
Wang, N.[Ning],
Lam, L.[Louisa],
Suen, C.Y.[Ching Y.],
Noise Tolerant Script Identification of Printed Oriental and English
Documents Using a Downgraded Pixel Density Feature,
ICPR10(2037-2040).
IEEE DOI
1008
BibRef
Kae, A.[Andrew],
Huang, G.B.[Gary B.],
Doersch, C.[Carl],
Learned-Miller, E.G.[Erik G.],
Improving state-of-the-art OCR through high-precision document-specific
modeling,
CVPR10(1935-1942).
IEEE DOI
1006
BibRef
Bakar, N.A.[Norsharina Abu],
Shamsuddin, S.M.[Siti Mariyam],
United Zernike Invariants for Character Images,
IVIC09(498-509).
Springer DOI
0911
BibRef
Ko, M.A.[Mi-Ae],
Kim, Y.M.[Young-Mo],
A simple OCR method from strong perspective view,
AIPR04(235-240).
IEEE DOI
0410
BibRef
Abdul Kader, A.[Ahmad],
Casey, M.R.[Mathew R.],
Low Cost Correction of OCR Errors Using Learning in a Multi-Engine
Environment,
ICDAR09(576-580).
IEEE DOI
0907
BibRef
Bhuiyan, M.A.[Mohammad A.],
Jalasutram, R.[Rommel],
Taha, T.M.[Tarek M.],
Character recognition with two spiking neural network models on
multicore architectures,
CIMSVP09(29-34).
IEEE DOI
0903
BibRef
Kuhl, A.[Annika],
Tan, T.[Tele],
Venkatesh, S.[Svetha],
Model-based combined tracking and resolution enhancement,
ICPR08(1-4).
IEEE DOI
0812
BibRef
And:
Model-based character recognition in low resolution,
ICIP08(1001-1004).
IEEE DOI
0810
5 pixel text.
BibRef
Fujisawa, H.[Hiromichi],
How to Deal with Uncertainty and Variability: Experience and Solutions,
SACH06(xx-yy).
Springer DOI
0609
BibRef
Breuel, T.,
The hOCR Microformat for OCR Workflow and Results,
ICDAR07(1063-1067).
IEEE DOI
0709
BibRef
Garain, U.[Utpal],
Chakraborty, M.P.,
Majumder, D.D.[D. Dutta],
Improvement of OCR Accuracy by Similar Character Pair Discrimination:
an Approach based on Artificial Immune System,
ICPR06(II: 1046-1049).
IEEE DOI
0609
BibRef
Alon, J.,
Athitsos, V.,
Sclaroff, S.,
Online and offline character recognition using alignment to prototypes,
ICDAR05(II: 839-843).
IEEE DOI
0508
BibRef
Chellapilla, K.,
Simard, P.Y.,
Nickolov, R.,
Fast optical character recognition through glyph hashing for document
conversion,
ICDAR05(II: 829-833).
IEEE DOI
0508
BibRef
Moussa, S.B.,
Zahour, A.[Abderrazak],
Alimi, M.A.,
Benabdelhafid, A.,
Can fractal dimension be used in font classification,
ICDAR05(I: 146-150).
IEEE DOI
0508
BibRef
Sarkar, P.,
Baird, H.S.,
Decoder Banks: Versatility, Automation, and High Accuracy without
Supervised Training,
ICPR04(II: 646-649).
IEEE DOI
0409
BibRef
Oliveira, A.L.I.,
Neto, F.B.L.,
Meira, S.R.L.,
Improving RBF-DDA performance on optical character recognition through
parameter selection,
ICPR04(IV: 625-628).
IEEE DOI
0409
BibRef
Seni, G.,
TreadMill ink: Enabling continuous pen input on small devices,
FHR02(215-220).
IEEE Top Reference.
0209
BibRef
Elliman, D.,
Sherkat, N.,
A truthing tool for generating a database of cursive words,
ICDAR01(1255-1262).
IEEE DOI
0109
BibRef
Da, L.[Lu],
McCane, B.,
Wei, P.[Pu],
Character pre-classification based on fuzzy typographical analysis,
ICDAR01(74-78).
IEEE DOI
0109
BibRef
Kim, H.Y.,
Kim, J.H.,
Minimum Entropy Estimation of Hierarchical Random Graph Parameters for
Character Recognition,
ICPR00(Vol II: 1050-1053).
IEEE DOI
0009
BibRef
Sawaki, M.,
Murase, H.,
Hagita, N.,
Automatic Acquisition of Context-based Image Templates for Degraded
Character Recognition in Scene Images,
ICPR00(Vol IV: 15-18).
IEEE DOI
0009
BibRef
Murase, H.[Hiroshi],
Hagita, N.[Norihiro],
Sawaki, M.[Minako],
Character Recognition in Bookshelf Images by
Automatic Template Selection,
ICPR98(Vol II: 1117-1120).
IEEE DOI
9808
BibRef
Berthilsson, R.,
Character Recognition Using Shape for Curves,
ICPR00(Vol II: 227-230).
IEEE DOI
0009
BibRef
Wang, X.,
Ding, X.,
Liu, C.,
Gray-scale Character Image Recognition Based on Fuzzy DCT Transform
Features,
ICPR00(Vol II: 235-238).
IEEE DOI
0009
BibRef
Yoshimura, H.,
Etoh, M.,
Kondo, K.,
Yokoya, N.,
Gray-scale Character Recognition by Gabor Jets Projection,
ICPR00(Vol II: 335-338).
IEEE DOI
0009
BibRef
Baird, H.S.,
Nagy, G.,
A Self-Correcting 100-Font Classifier,
SPIE(2181), 1994, pp. 106-115.
Font specific error rates can clearly be lower.
BibRef
9400
Szmurlo, M.,
Boundary Normalization for Recognition of Non-Touching Non-Degraded
Characters,
ICDAR97(463-466).
IEEE DOI
9708
BibRef
Sawa, K.,
Tsuruoka, S.,
Wakabayashi, T.,
Kimura, F.,
Miyake, Y.,
Low Quality String Recognition For Factory Automation,
ICDAR97(475-478).
IEEE DOI
9708
BibRef
Nagasaki, T.,
Yamamoto, T.,
Nakagawa, M.,
The Behavior of Dynamic Relaxation in an Elastic Stroke Model
for Character Recognition,
ICDAR97(16-22).
IEEE DOI
9708
BibRef
Le Bourgeois, F.,
Robust Multifont OCR System from Gray Level Images,
ICDAR97(1-5).
IEEE DOI
9708
BibRef
Bottou, L.[Leon],
Bengio, Y.[Yoshua],
Le Cun, Y.L.[Yann L.],
Global Training of Document Processing Systems
Using Graph Transformer Networks,
CVPR97(489-494).
IEEE DOI
9704
Learning document analysis. Character recognition.
BibRef
Kim, M.,
Kwon, Y.,
Multi-Font and Multi-Size Character Recognition Based on the Sampling
and Quantization of an Unwrapped Contour,
ICPR96(III: 170-174).
IEEE DOI
9608
(Chung-Ang Univ., KOR)
BibRef
Takasu, A.,
Satoh, S.,
Katsura, E.,
A document understanding method for database construction of an
electronic library,
ICPR94(B:463-466).
IEEE DOI
9410
BibRef
Takasu, A.,
Katayama, N.,
Yamaoka, M.,
Iwaki, O.,
Oyama, K.,
Adachi, J.,
Approximate Matching for OCR-Processed Bibliographic Data,
ICPR96(III: 175-179).
IEEE DOI
9608
(NACSIS, J)
BibRef
Grother, P.J.,
Cross Validation Comparison of NIST OCR Databases,
SPIE(1906), February 1993.
BibRef
9302
And:
NISTIR5123, January 1992.
BibRef
Garris, M.D.,
Wilson, C.L.,
Blue, J.L.,
Candela, G.T.,
Grother, P.J.,
Janet, S.A., and
Wilkinson, R.A.,
Massively Parallel Implementation of Character Recognition Systems,
SPIE(1661), February 1992, pp. 269-280.
BibRef
9202
And:
NISTIR4750 January 1992.
BibRef
Le Bourgeois, F., and
Henry, J.L.,
An Evolutive OCR System Based on Continuous Learning,
WACV96(272-277).
IEEE DOI
9609
BibRef
Ma, Y.L.,
Jang, S.Y.,
Ma, C.,
Pattern Recognition by Circular Layer Code Approach,
ICPR86(783-785).
BibRef
8600
Kurosawa, Y.,
Asada, H.,
Attributed String Matching with Statistical Constraints for
Character Recognition,
ICPR86(1063-1067).
BibRef
8600
Ikeuchi, K.,
A Model of Character Recognition by Humans,
ICPR84(521-524).
BibRef
8400
Lu, P.Y.,
Brodersen, R.W.,
Real-Time On-Line Symbol Recognition Using a DTW Processor,
ICPR84(1281-1283).
BibRef
8400
Schuermann, J.[Juergen],
Text Recognition: From Pixels to Meaning,
SDAIR96(XX)
Daimler Benz Research Center.
BibRef
9600
Drucker, H.[Harris],
Fast Decision Tree Ensembles for Optical Character Recognition,
SDAIR96(XX)
AT&T Bell Laboratories.
BibRef
9600
Singhal, A.[Amit],
Salton, G.[Gerard],
Buckley, C.[Chris],
Length Normalization in Degraded Text Collections,
SDAIR96(XX)
Cornell University.
BibRef
9600
Nagy, G.[George],
Wang, X.Y.[Xiao-Yin],
Automatically-Generated High-Reliability Features for
Dichotomies of Printed Characters,
SDAIR96(XX)
Rensselaer Polytechnic Institute.
BibRef
9600
Jager, T.[Thorsten],
OCR and Voting Shell Fulfilling Specific Text Analysis Requirements,
SDAIR96(XX)
German Research Center for Artificial Intelligence (DFKI).
BibRef
9600
O'Regan, K.,
Bismuth, N.,
Hersch, R.D.,
Pappas, A.,
Legibility of perceptually-tuned grayscale fonts,
ICIP96(I: 537-540).
IEEE DOI
9610
BibRef
Romero, R.D.,
Tibadeau, R.H.,
Object manipulation for document conversion,
ICIP95(III: 300-303).
IEEE DOI
9510
BibRef
Shchepin, E.V.,
Nepomnyashchii, G.M.,
On the method of critical points in character recognition,
CAIP93(594-598).
Springer DOI
9309
BibRef
Ong, P.W.,
Wallace, R.S.,
Schwartz, E.L.,
Space-variant optical character recognition,
ICPR92(II:504-507).
IEEE DOI
9208
BibRef
Chapter on OCR, Document Analysis and Character Recognition Systems continues in
OCR Systems, General .