Inagaki, K.,
Kato, T.,
Hiroshima, T.,
Sakai, T.,
Macsym: A Hierarchical Parallel Image Processing System For Event Driven Pattern Understanding Of Documents,
PR(17), 1984, pp. 85-108.
BibRef
Shridhar, M.,
Badreldin, A.,
High Accuracy Character Recognition Algorithms Using Fourier And Topological Descriptors,
PR(17), 1984, pp. 515-524.
BibRef
Steinke, K.,
Writer Recognition By Special Characters,
DIA(84), pp. 364-372.
BibRef
Casey, R.G.,
Nagy, G.,
Decision Tree Design Using A Probabilistic Model,
T-IT(30), 1984, pp. 93-99.
BibRef
Belaid, A.,
Haton, J.P.,
A Syntactic Approach For Handwritten Mathematical Formula Recognition,
T-PAMI(6), 1984, pp. 105-111.
BibRef
Kashyap, R.L.,
Oommen, B.J.,
Spelling Correction Using Probabilistic Methods,
PRL(2), 1984, pp. 147-154.
BibRef
Fan, T.J.,
Tsai, W.H.,
Automatic Chinese Seal Identification,
CVGIP(25), 1984, pp. 311-330.
BibRef
Mori, S.,
Yamamoto, K.,
Yasuda, M.,
Research On Machine Recognition Of Handprinted Characters,
T-PAMI(6), 1984, pp. 386-405.
BibRef
Wang, Q.R.,
Suen, C.Y.,
Analysis And Design Of A Decision Tree Based On Entropy Reduction And Its Application To Large Character Set Recognition,
T-PAMI(6), 1984, pp. 406-417.
BibRef
Nagy, G.,
Seth, S.,
Hierarchical Representation Of Optically Scanned Documents,
7ICPR(84), pp. 347-349.
BibRef
Ma, Y.L.,
Jour, J.S.,
New Probabilistic Model For Chinese Character Recognition,
7ICPR(84), pp. 370-373.
BibRef
Tai, J.W.,
A Syntactic-Semantic Approach For Chinese Character Recognition,
7ICPR(84), pp. 374-376.
BibRef
Kimura, F.,
Harada, T.,
Tsuruoka, S.,
Miyake, Y.,
Modified Quadratic Discriminant Functions And The Application To Chinese Character Recognition,
7ICPR(84), pp. 377-380.
BibRef
Liu, Y.,
Kasvand, T.,
A New Approach To Machine Recognition Of Chinese Characters,
7ICPR(84), pp. 381-384.
BibRef
Yamamoto, K.,
Yamada, H.,
Saito, T.,
Oka, R.I.,
Recognition Of Handprinted Chinese Characters And Japanese Cursive Syllabary,
7ICPR(84), pp. 385-388.
BibRef
Ikeuchi, K.,
A Model Of Character Recognition By Humans,
7ICPR(84), pp. 521-524.
BibRef
Kubota, K.,
Iwaki, O.,
Arakawa, H.,
Document Understanding System,
7ICPR(84), pp. 612-614.
BibRef
Shridhar, M.,
Badreldin, A.,
A Tree Classification Algorithm For Handwritten Character Recognition,
7ICPR(84), pp. 615-618.
BibRef
Brault, J.J.,
Plamondon, R.,
Histogram Classifier For Characterization Of Handwritten Signature Dynamic,
7ICPR(84), pp. 619-622.
BibRef
Schaeken, B.,
Verschueren, W.,
Rene de Cotret, Y.,
Hermanne, A.,
A Hierarchical System For Handwritten Numeral Recognition,
7ICPR(84), pp. 623-625.
BibRef
Gaines, B.R.,
McKellar, I.D.,
Dinger, W.P.,
Fast, S.R.,
Fowles, B.J.,
Fraccaro, M.A.,
Jolivet, G.C.,
Maludzinski, A.B.,
Some Experience In The Real-Time Processing Of Handwriting,
7ICPR(84), pp. 630-632.
BibRef
Lamarche, F.,
Plamondon, R.,
Segmentation And Feature Extraction Of Handwritten Signature Patterns,
7ICPR(84), pp. 756-759.
BibRef
Verschueren, W.,
Schaeken, B.,
Rene de Cotret, Y.,
Hermanne, A.,
Structural Recognition Of Handwritten Numerals,
7ICPR(84), pp. 760-762.
BibRef
Sinha, R.M.K.,
A Knowledge Based Script Reader,
7ICPR(84), pp. 763-765.
BibRef
Sagawa, T.,
Tanaka, E.,
Suzuki, M.,
Fujita, M.,
An Unsupervised Learning Of Hand-Printed Characters With Linguistic Information,
7ICPR(84), pp. 766-769.
BibRef
Bozinovic, R.,
Srihari, S.N.,
Knowledge-Based Cursive Script Interpretation,
7ICPR(84), pp. 774-776.
BibRef
Doster, W.,
Different States Of A Document'S Content On Its Way From The Gutenbergian World To The Electronic World,
7ICPR(84), pp. 872-874.
BibRef
Kim, J.,
Tappert, C.C.,
Handwriting Recognition Accuracy Versus Tablet Resolution And Sampling Rate,
7ICPR(84), pp. 917-918.
BibRef
Kuklinksi, T.T.,
Components Of Handprint Style Variabilty,
7ICPR(84), pp. 924-926.
BibRef
Long, S.J.,
D'Amato, D.P.,
Sack, M.,
Ocr In The United States Postal Service: Present Status And Future Needs,
7ICPR(84), pp. 945-947.
BibRef
Tappert, C.C.,
Adaptive On-Line Handwriting Recognition,
7ICPR(84), pp. 1004-1007.
BibRef
Ueda, K.,
Nakamura, Y.,
Automatic Verification Of Seal-Impression Pattern,
7ICPR(84), pp. 1019-1021.
BibRef
Yamasaki, T.,
Inokuchi, S.,
Sakurai, Y.,
Training System For Well-Writing Based On On-Line Character Recognition,
7ICPR(84), pp. 1039-1041.
BibRef
Ye, P.J.,
Hugli, H.,
Pellandini, F.,
Techniques For On-Line Chinese Character Recognition With Reduced Writing Constraints,
7ICPR(84), pp. 1043-1045.
BibRef
Sakai, T.,
Odako, K.,
Toida, T.,
Several Approaches To Development Of On-Line Handwritten Character Input Equipment,
7ICPR(84), pp. 1052-1054.
BibRef
Amin, A.,
Masini, G.,
Haton, J.P.,
Recognition Of Handwritten Arabic Words And Sentences,
7ICPR(84), pp. 1055-1057.
BibRef
Leedham, C.G.,
Downton, A.C.,
On-Line Recognition Of Shortforms In Pitman'S Handwritten Shorthand,
7ICPR(84), pp. 1058-1060.
BibRef
Tang, G.Y.,
Tzeng, P.S.,
Hau, C.C.,
A Microcomputer System To Recognize Handwritten Numerals Using A Syntactic-Statistic Approach,
7ICPR(84), pp. 1061-1064.
BibRef
Wakahara, T.,
Umeda, M.,
On-Line Cursive Script Recognition Using Stroke Linkage Rules,
7ICPR(84), pp. 1065-1068.
BibRef
Impedovo, S.,
Plane Curve Classification Through Fourier Descriptors -- An Application To Arabic Hand-Written Numeral Recognition,
7ICPR(84), pp. 1069-1072.
BibRef
Ma, Y.L.,
Pattern Recognition By Markovian Dynamic Programming,
7ICPR(84), pp. 1259-1262.
BibRef
Lu, P.Y.,
Brodersen, R.W.,
Real-Time On-Line Symbol Recognition Using A Dtw Processor,
7ICPR(84), pp. 1281-1283.
BibRef
Lorette, G.,
On-Line Handwritten Signature Recognition Based On Data Analysis And Clustering,
7ICPR(84), pp. 1284-1287.
BibRef
Shridhar, M.,
Badreldin, A.,
Handwritten Numeral Recognition By Tree Classification Methods,
IVC(2), 1984, pp. 143-149.
BibRef
Flowers, J.,
Digital Type Manufacture: An Interactive Approach,
COMPUTER(17), No. 5, 1984, pp. 40-48.
BibRef
Nadler, M.,
Document Segmentation And Coding Techniques,
CVGIP(28), 1984, pp. 240-262.
BibRef
Schwartz, H.F.,
The History Of Ocr -- Optical Character Recognition,
RECOGNITION TECHNOLOGIES USERS(Association), pp. 1982.
BibRef
Chapter on Rosenfeld Bibliography for 1984 continues in
E.3. Industrial automation .