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Postal Service Advanced Technology Conference, U.S.,
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Baird, H.S.,
Feature Identification For Hybrid Structural/Statistical Pattern Classification,
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Wolberg, G.,
A Syntactic Omni-Font Character Recognition System,
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Chen, K.J.,
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A System For On-Line Recognition Of Chinese Characters,
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Chen, P.N.,
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Stroke Relation Coding-A New Approach To The Recognition Of Multi-Font Printed Chinese Characters,
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Wang, P.S.P.,
Knowledge Pattern Representation Of Chinese Characters,
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Morishita, T.,
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A Kanji Recognition Method Which Detects Writing Errors,
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On Machine Recognition Of Hand-Printed Chinese Characters By Feature Relaxation,
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Lam, L.,
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Structural Classification And Relaxation Matching Of Totally Unconstrained Handwritten Zip-Code Numbers,
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Baptista, G.,
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A High Accuracy Algorithm For Recognition Of Handwritten Numerals,
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El-Sheikh, T.S.,
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Computer Recognition Of Arabic Cursive Scripts,
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Kerrick, D.D.,
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Microprocessor-Based Recognition Of Handprinted Characters From A Tablet Input,
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Ray, S.,
A Heuristic Noise Reduction Algorithm Applied To Handwritten Numeric Characters,
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Abdulla, W.H.,
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A Preprocessing Algorithm For Hand-Written Character Recognition,
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Yong, Y.,
Handprinted Chinese Character Recognition Via Neural Networks,
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Oulamara, A.,
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An Application Of The Hough Transform To Automatic Recognition Of Berber Characters,
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El-Sheikh, T.S.,
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Automatic Recognition Of Isolated Arabic Characters,
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Ward, J.R.,
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A Model For Variability Effects In Handprinting With Implications For The Design Of Handwriting Character Recognition Systems,
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Leung, C.H.,
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A Knowledge-Based Stroke-Matching Method For Chinese Character Recognition,
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Lee, K.H.,
Eom, K.B.,
Kashyap, R.L.,
Character Recognition Using Attributed Grammar,
CVPR(88), pp. 418-423.
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Ohya, J.,
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A Relaxational Extracting Method For Character Recognition In Scene Images,
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Kundu, A.,
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Recognition Of Handwritten Word: First And Second Order Hidden Markov Model Based Approach,
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Kimura, M.,
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An Intelligent Character Recognition System With High Accuracy And High Speed By Integrating Image-Type And Logical-Type Information Processings,
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Hull, J.J.,
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A Blackboard-Based Approach To Handwritten Zip Code Recognition,
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Nagy, G.,
Chinese Character Recognition: A Twenty-Five Year Retrospective,
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Tsukumo, J.,
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Classification Of Handprinted Chinese Characters Using Non-Linear Normalization And Correlation Methods,
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Yamada, H.,
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Saito, T.,
A Nonlinear Normalization Method For Handprinted Kanji Character Recognition-Line Density Equalization,
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Banno, K.,
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Text Recognition System For Japanese Documents,
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Zeng, J.,
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A Data Structure Suitable For Representing The Calligraphic Rules For Chinese Character Evaluation,
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Holder, S.,
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Font- And Sizeinvariant Character Recognition With Greyvalue Image Features,
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Plamondon, R.,
Parizeau, M.,
Signature Verification From Position, Velocity And Acceleration Signals: A Comparative Study,
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Sabourin, R.,
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Segmentation Of Handwritten Signature Images Using The Statistics Of Directional Data,
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Zhang, Z.,
He, M.,
Ge, C.,
A Research On Printed Chinese Character Recognition Based On Stroke Features With Optical/Digital Hybrid Realization,
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Du, J.,
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Flexible Recognition Algorithms And Flexible Ocr System,
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Liu, Y.J.,
Tai, J.W.,
A Structural Approach To Online Chinese Character Recognition,
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Wang, K.,
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Multi-Layer Projections For The Classification Of Similar Chinese Characters,
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Leveridge, P.C.,
Leedham, C.G.,
Experiments With An N-Tuple Recogniser For Fast ``First Try'' Recognition Of Unconstrained Handwritten Symbols,
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Shu, W.,
Cui, G.W.,
Zhao, R.H.,
An Accurate Method For Recognition Of Printed Chinese Characters,
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Dong, H.,
Wu, Y.,
Ding, X.,
An Arg Representation For Chinese Characters And A Radical Extraction Based On The Representation,
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Tappert, C.C.,
Suen, C.Y.,
Wakahara, T.,
On-Line Handwriting Recognition-A Survey,
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Wakahara, T.,
On-Line Cursive Script Recognition Using Local Affine Transform,
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Murase, H.,
Online Recognition Of Free-Format Japanese Handwritings,
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Srihari, S.N.,
Wang, C.H.,
Palumbo, P.W.,
Hull, J.J.,
Recognizing Address Blocks On Mail Pieces: Specialized Tools And Problem-Solving Architectures, Ai Magazine 8(4), 1987,
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Wang, C.H.,
Srihari, S.N.,
A Framework For Object Recognition In A Visually Complex Environment And Its Application To Locating Address Blocks On Mail Pieces,
IJCV(2), 1988, pp. 125-151.
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Goshtasby, A.,
Ehrich, R.W.,
Contextual Word Recognition Using Probabilistic Relaxation Labeling,
PR(21), 1988, pp. 455-462.
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Sinha, R.M.K.,
Prasada, B.,
Visual Text Recognition Through Contextual Processing,
PR(21), 1988, pp. 463-479.
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Gotoh, T.,
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Yoshida, M.,
A Flexible Vision-Based Algorithm For A Book Sorting System,
T-PAMI(10), 1988, pp. 393-399.
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Fletcher, L.A.,
Kasturi, R.,
A Robust Algorithm For Text String Separation From Mixed Text/Graphics Images,
T-PAMI(10), 1988, pp. 910-918.
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Ammar, M.,
Yoshida, Y.,
Fukumura, T.,
Description Of Signature Images And Its Application To Their Classification,
ICPR(88), pp. 23-26.
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Downton, A.C.,
Leedham, C.G.,
Pre-Processing Of Envelope Images For Optical Character Recognition,
ICPR(88), pp. 27-31.
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Wang, Z.X.,
Faure, C.,
Structural Analysis Of Handwritten Mathematical Expressions,
ICPR(88), pp. 32-34.
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Yoshimura, I.,
Yoshimura, M.,
Writer Identification Based On The Arc Pattern Transform,
ICPR(88), pp. 35-37.
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Tanaka, H.,
Kogawara, A.,
High Speed String Edit Methods Using Hierarchical Files And Hashing Technique,
ICPR(88), pp. 334-336.
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Wang, C.H.,
Palumbo, P.W.,
Srihari, S.N.,
Object Recognition In Visually Complex Environments: An Architecture For Locating Address Blocks On Mail Pieces,
ICPR(88), pp. 365-367.
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Kise, K.,
Yamada, K.,
Tanaka, N.,
Babaguchi, N.,
Tezuka, Y.,
Visiting Card Understanding System,
ICPR(88), pp. 425-429.
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Ciardello, G.,
Scafuro, G.,
Degrandi, M.T.,
Spada, M.R.,
Roccotelli, M.P.,
An Experimental System For Office Document Handling And Text Recognition,
ICPR(88), pp. 739-743.
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Tsuji, Y.,
Document Image Analysis For Generating Syntactic Structure Description,
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Dai, Y.,
Zheng, N.,
Zhang, X.,
Xuan, G.,
Automatic Recognition Of Province Name On The License Plate Of Moving Vehicle,
ICPR(88), pp. 927-929.
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Ohkura, M.,
Shiono, M.,
On The Intra-Category Clustering To Make Multidictionary Patterns For Multidictionary Templet Matching Method,
ICPR(88), pp. 1029-1031.
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Downton, A.C.,
Guillevic, D.,
Syntactic And Contextual Post-Processing Of Handwritten Addresses For Optical Character Recognition,
ICPR(88), pp. 1072-1076.
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Fahn, C.S.,
Wang, J.F.,
Lee, J.Y.,
A Topology-Based Component Extractor For Understanding Electronic Circuit Diagrams,
CVGIP(44), 1988, pp. 119-138.
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Freeman, H.,
An Expert System For The Automatic Placement Of Names On A Geographic Map,
IS(45), 1988, pp. 367-378.
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Roach, J.W.,
Tatem, J.E.,
Using Domain Knowledge In Low-Level Visual Processing To Interpret Handwritten Music: An Experiment,
PR(21), 1988, pp. 33-44.
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Musavi, M.T.,
Shirvaikar, M.V.,
Ramanathan, E.,
Nekovei, A.R.,
A Vision Based Method To Automate Map Processing,
PR(21), 1988, pp. 319-326.
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Okazaki, A.,
Kondo, T.,
Mori, K.,
Tsunekawa, S.,
Kawamoto, E.,
An Automatic Circuit Diagram Reader With Loop-Structure-Based Symbol Recognition,
T-PAMI(10), 1988, pp. 331-341.
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Tanaka, M.,
Ichikawa, T.,
A Visual User Interface For Map Information Retrieval Based On Semantic Significance,
T-SE(14), 1988, pp. 666-670.
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Kasturi, R.,
Alemany, J.,
Information Extraction From Images Of Paper-Based Maps,
T-SE(14), 1988, pp. 671-675.
BibRef
Benjamin, D.,
Forgues, P.,
Gulko, E.,
Massicotte, J.B.,
Meubus, C.,
The Use Of High-Level Knowledge For Enhanced Entry Of Engineering Drawings,
ICPR(88), pp. 119-129.
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Kasturi, R.,
Bow, S.T.,
Gattiker, J.,
Shah, J.,
El-Masri, W.,
Mokate, U.,
Honnenahalli, S.,
A System For Recognition And Description Of Graphics,
ICPR(88), pp. 255-259.
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Lu, W.,
Ohsawa, Y.,
Sakauchi, M.,
A Database Capture System For Mechanical Drawings Using An Efficient Multi-Dimensional Graphical Data Structure,
ICPR(88), pp. 266-269.
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Nagao, T.,
Agui, T.,
Nakajima, M.,
An Automatic Road Vector Extraction Method From Maps,
ICPR(88), pp. 585-587.
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Maderlechner, G.,
Jeppsson, O.,
Representation, Classification And Modelling Of Graphs For Efficient Pattern Recognition In Line Images,
ICPR(88), pp. 678-680.
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Kojima, H.,
Toida, T.,
On-Line Hand-Drawn Line-Figure Recognition And Its Application,
ICPR(88), pp. 1138-1142.
BibRef
Chapter on Rosenfeld Bibliography for 1988 continues in
C.2. Biomedical applications .