25.4.6.2.3 Handwritten Characters, Cursive Script, Surveys, Data, Comparisons, Evaluations

Chapter Contents (Back)
Survey, Cursive Script. Handwriting. Online Systems.

Earnest, L.D.,
Machine Recognition of Cursive Writing,
IFIP Congress1962. BibRef 6200
And: Information ProcessingLondon:Butterworth, pp. 462-466. BibRef

Plamondon, R., Srihari, S.N.,
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey,
PAMI(22), No. 1, January 2000, pp. 63-84.
IEEE DOI 0003
Survey, Handwriting. Recognize Handwriting. Part of the 20 year issue. This is the place to start for techniques and status. Very good bibliography of the field. BibRef

Güdesen, A.,
Quantitative analysis of preprocessing techniques for the recognition of handprinted characters,
PR(8), No. 4, October 1976, pp. 219-227.
Elsevier DOI 0309
Different preprocessing techniques. BibRef

Davis, R.H., Lyall, J.,
Recognition of Handwritten Characters: A Review,
IVC(4), No. 4, November 1986, pp. 208-218.
Elsevier DOI BibRef 8611

Impedovo, S.,
Fundamentals in Handwriting Recognition,
Springer-Verlag1994. A collection of papers from a NATO meeting. BibRef 9400

Blesser, B.A.[Barry A.], Kuklinski, T.T.[Theodore T.], Shillman, R.J.[Robert J.],
Empirical tests for feature selection based on a psychological theory of character recognition,
PR(8), No. 2, April 1976, pp. 77-85.
Elsevier DOI 0309
BibRef

Ward, J.R., Kuklinski, T.T.,
A Model for Variability Effects in Handprinting with Implications for the Design of Handwriting Character Recognition Systems,
SMC(18), 1988, pp. 438-451. BibRef 8800

Wang, P.S.P., (Ed.)
Character and Handwriting Recognition: Expanding Frontiers,
PRAI(5), No. 1-2, June 1991, pp. 1-382. BibRef 9106

Spinrad, R.J.,
Machine Recognition of Hand Printing,
InfoControl(8), 1965, pp. 124-142. Recognize Handwriting. Early character recognition paper. BibRef 6500

Ward, J.R., Blesser, B.B.,
Interactive Recognition of Handprinted Characters for Computer Input,
IEEE_CGA(5), No. 9, 1985, pp. 24-37. BibRef 8500

Plamondon, R.[Réjean],
Handwriting processing and recognition,
PR(26), No. 3, March 1993, pp. 379.
Elsevier DOI 0401
Special issue intro. BibRef

Garris, M.D.,
Design, Collection, and Analysis of Handwriting Sample Image Databases,
ECST(189-213). 1994.
HTML Version. BibRef 9400

Hull, J.J.,
A Database for Handwritten Text Recognition Research,
PAMI(16), No. 5, May 1994, pp. 550-554.
IEEE DOI Dataset, Handwriting. Handwriting Database. BibRef 9405

Plamondon, R.,
A Renaissance for Handwriting,
MVA(8), No. 4, 1995, pp. 195-196.
Springer DOI The introduction to the special issue. The other papers are listed below. BibRef 9500

Plamondon, R.[Réjean],
A model-based segmentation framework for computer processing of handwriting,
ICPR92(II:303-307).
IEEE DOI 9208
BibRef

Leedham, G.[Graham], Guerfali, W.[Wacef], Plamondon, R.[Réjean],
Special Issue: Handwriting Processing and Applications,
PR(35), No. 5, May 2002, pp. 981-982.
Elsevier DOI 0202
BibRef

Simon, J.C.[Jean-Claude],
The Recognition of Handwriting,
ICPR98(K.S. Fu Lecture). 9808
Not online. BibRef

Liu, C.L.[Cheng-Lin], Sako, H.[Hiroshi], Fujisawa, H.[Hiromichi],
Performance Evaluation of Pattern Classifiers for Handwritten Character Recognition,
IJDAR(4), No. 3, 2002, pp. 191-204.
Springer DOI 0205
Evaluation, OCR. BibRef

Liu, C.L.[Cheng-Lin], Sako, H., Fujisawa, H.,
Integrated Segmentation and Recognition of Handwritten Numerals: Comparison of Classification Algorithms,
FHR02(303-308).
IEEE Top Reference. 0209
BibRef

Zhang, X.Y.[Xu-Yao], Liu, C.L.[Cheng-Lin],
Style transfer matrix learning for writer adaptation,
CVPR11(393-400).
IEEE DOI 1106
Reduce the writing style variation in handwriting recognition. BibRef

Arica, N.[Nafiz], Yarman-Vural, F.T.[Fatos T.],
An overview of character recognition focused on off-line handwriting,
SMC-C(31), No. 2, May 2001, pp. 216-233.
IEEE Top Reference. 0109
BibRef
Earlier:
A New Scheme for Off-Line Handwritten Connected Digit Recognition,
ICPR98(Vol II: 1127-1129).
IEEE DOI 0403
BibRef

Ground Truthed Handwritten Word Images,
Cambridge University dataset. Dataset, Handwriting.
HTML Version.

On-line Handwriting Database,
Tokyo Univ. of Agri. & Tech., Nakagawa Laboratory. Dataset, Handwriting.
WWW Link.

Srihari, S.[Sargur], Collins, J.[Jim], Srihari, R.[Rohini], Srinivasan, H.[Harish], Shetty, S.[Shravya], Brutt-Griffler, J.[Janina],
Automatic scoring of short handwritten essays in reading comprehension tests,
AI(172), No. 2-3, February 2008, pp. 300-324.
Elsevier DOI 0802
Automatic essay scoring; Contextual handwriting recognition; Reading comprehension; Latent semantic analysis; Artificial neural networks BibRef

Srihari, S.[Sargur], Collins, J.[Jim], Srihari, R.[Rohini], Babu, P.[Pavithra], Srinivasan, H.[Harish],
Automated Scoring of Handwritten Essays Based on Latent Semantic Analysis,
DAS06(71-83).
Springer DOI 0602
BibRef

Mozaffari, S.[Saeed], Faez, K.[Karim], Margner, V.[Volker], El-Abed, H.[Haikal],
Lexicon reduction using dots for off-line Farsi/Arabic handwritten word recognition,
PRL(29), No. 6, 15 April 2008, pp. 724-734.
Elsevier DOI 0803
Lexicon reduction; Off-line Farsi/Arabic handwritten word recognition; Discrete hidden Markov model; Dot extraction; String matching BibRef

Ziaratban, M.[Majid], Faez, K.[Karim],
Non-uniform slant estimation and correction for Farsi/Arabic handwritten words,
IJDAR(12), No. 4, December 2009, pp. xx-yy.
Springer DOI 0912
BibRef
Earlier:
A novel two-stage algorithm for baseline estimation and correction in Farsi and Arabic handwritten text line,
ICPR08(1-5).
IEEE DOI 0812
BibRef

Mozaffari, S., Faez, K., Ziaratban, M.,
Structural decomposition and statistical description of Farsi/Arabic handwritten numeric characters,
ICDAR05(I: 237-241).
IEEE DOI 0508
BibRef
Earlier:
Recognition of isolated handwritten Farsi/Arabic alphanumeric using fractal codes,
Southwest04(104-108).
IEEE DOI 0411
BibRef

Mozaffari, S., Faez, K., Ziaratban, M.,
Character representation and recognition using quad tree-based fractal encoding scheme,
ICDAR05(II: 819-823).
IEEE DOI 0508
BibRef

Mozaffari, S., Faez, K., Kanan, H.R.,
Feature comparison between fractal codes and wavelet transform in handwritten alphanumeric recognition using SVM classifier,
ICPR04(II: 331-334).
IEEE DOI 0409
BibRef

Impedovo, D., Pirlo, G.,
Zoning methods for handwritten character recognition: A survey,
PR(47), No. 3, 2014, pp. 969-981.
Elsevier DOI 1312
Survey, OCR. Handwritten character recognition BibRef

Impedovo, D., Pirlo, G.,
Updating Knowledge in Feedback-Based Multi-classifier Systems,
ICDAR11(227-231).
IEEE DOI 1111
BibRef

Impedovo, D., Pirlo, G., Barbuzzi, D.,
Multi-classifier System Configuration Using Genetic Algorithms,
FHR12(560-564).
IEEE DOI 1302
BibRef

Impedovo, S., Mangini, F.M., Barbuzzi, D.,
A novel prototype generation technique for handwriting digit recognition,
PR(47), No. 3, 2014, pp. 1002-1010.
Elsevier DOI 1312
Handwriting digit recognition BibRef

Impedovo, S.[Sebastiano],
A New Adaptive Zoning Technique for Handwritten Digit Recognition,
CIAP13(I:91-100).
Springer DOI 1311
BibRef

Impedovo, S., Pirlo, G., Mangini, F.M.,
Handwritten Digit Recognition by Multi-objective Optimization of Zoning Methods,
FHR12(675-679).
IEEE DOI 1302
BibRef

Impedovo, D., Pirlo, G.,
Class-adaptive zoning methods for recognizing handwritten digits and characters,
ICDAR15(36-40)
IEEE DOI 1511
Adaptive Zoning BibRef

Impedovo, S.[Sebastiano], Pirlo, G., Modugno, R.[Raffaele], Ferrante, A.[Anna],
Zoning Methods for Hand-Written Character Recognition: An Overview,
FHR10(329-334).
IEEE DOI 1011
Survey, OCR. Divide into regions, features of region for character. BibRef

Feng, Z.Y.[Zi-Yong], Yang, Z.Y.[Zhao-Yang], Jin, L.W.[Lian-Wen], Huang, S.P.[Shuang-Ping], Sun, J.[Jun],
Robust shared feature learning for script and handwritten/machine-printed identification,
PRL(100), No. 1, 2017, pp. 6-13.
Elsevier DOI 1712
BibRef

Gao, Z.G.[Zhen-Guo], Chen, D.J.[Dan-Jie], Zhang, W.[Wei], Cai, S.B.[Shao-Bin],
Colour image encryption algorithm using one-time key and FrFT,
IET-IPR(12), No. 4, April 2018, pp. 472-478.
DOI Link 1804
One-time key mechanism based on message-digest algorithm 5 (MD5) of image. Fractional Fourier transform (FrFT). BibRef

Zhao, B.C.[Bo-Cheng], Tao, J.H.[Jian-Hua], Yang, M.H.[Ming-Hao], Tian, Z.K.[Zheng-Kun], Fan, C.H.[Cun-Hang], Bai, Y.[Ye],
Deep imitator: Handwriting calligraphy imitation via deep attention networks,
PR(104), 2020, pp. 107080.
Elsevier DOI 2005
Calligraphy imitation, Attention, Mata-style matrix, Condition gated recurrent unit BibRef

Grieggs, S.[Samuel], Shen, B.[Bingyu], Rauch, G.[Greta], Li, P.[Pei], Ma, J.Q.[Jia-Qi], Chiang, D.[David], Price, B.[Brian], Scheirer, W.J.[Walter J.],
Measuring Human Perception to Improve Handwritten Document Transcription,
PAMI(44), No. 10, October 2022, pp. 6594-6601.
IEEE DOI 2209
Loss measurement, Training, Tools, Task analysis, Annotations, Visualization, Document transcription, visual recognition, digital humanities BibRef

Cascianelli, S.[Silvia], Pippi, V.[Vittorio], Maarand, M.[Martin], Cornia, M.[Marcella], Baraldi, L.[Lorenzo], Kermorvant, C.[Christopher], Cucchiara, R.[Rita],
The LAM Dataset: A Novel Benchmark for Line-Level Handwritten Text Recognition,
ICPR22(1506-1513)
IEEE DOI 2212
Handwriting recognition, Text recognition, Annotations, Training data, Benchmark testing BibRef

Kang, L.[Lei], Riba, P.[Pau], Wang, Y.[Yaxing], Rusiñol, M.[Marçal], Fornés, A.[Alicia], Villegas, M.[Mauricio],
Ganwriting: Content-conditioned Generation of Styled Handwritten Word Images,
ECCV20(XXIII:273-289).
Springer DOI 2011
BibRef