Real-time processing of cursive writing and sketched graphics

The advances that have recently been made with respect to intelligent workstations and software also involve highly sophisticated recognition algorithms. The latter open up attractive possibilities for accessing the computer by means of the “natural” linguistic communication modes of speech and writing. Yet the large-scale introduction of keyboard-and-screen text editors with the many human-machine interaction problems associated with that revolution, and the spectacular potential of speech processing soliciting huge and lasting research investments in that area, seem to be responsible for the relative oblivion of the study of handwriting and drawing as efficient modes of human-computer interaction. The present contribution intends to point out the attractiveness and feasibility of using pen and paper as a natural communication device in an office work environment.

[1]  L. D. Harmon,et al.  Automatic recognition of print and script , 1972 .

[2]  E. H. Dooijes Analysis of handwriting movements , 1983 .

[3]  Robert B. Ash,et al.  Information Theory , 2020, The SAGE International Encyclopedia of Mass Media and Society.

[4]  M. Berthod,et al.  Automatic recognition of handprinted characters—The state of the art , 1980, Proceedings of the IEEE.

[5]  Marvin J. Dainoff,et al.  Occupational stress factors in visual display terminal (VDT) operation: a review of empirical research† , 1982 .

[6]  Paul Muter,et al.  Reading of Continuous Text on Video Screens , 1984 .

[7]  H. Kao,et al.  Graphonomics : contemporary research in handwriting , 1986 .

[8]  Lambert Schomaker,et al.  Automatic identification of writers , 1988 .

[9]  Theodosios Pavlidis,et al.  Syntactic Recognition of Handwritten Numerals , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[10]  David W. Embley,et al.  Behavioral Aspects of Text Editors , 1981, CSUR.

[11]  J D Gould,et al.  Revising Documents with Text Editors, Handwriting-Recognition Systems, and Speech-Recognition Systems , 1984, Human factors.

[12]  P. J. G. Keuss,et al.  Motor aspects of handwriting : approaches to movement in graphic behavior , 1984 .

[13]  W. G. Koster,et al.  Analysis and Synthesis of Handwriting , 1967 .

[14]  L. D. Earnest,et al.  Machine Recognition of Cursive Writing , 1962, IFIP Congress.

[15]  J. Strackee,et al.  A handwriting simulator. , 1962, Physics in medicine and biology.

[16]  Kenneth M. Sayre,et al.  Machine recognition of handwritten words: A project report , 1973, Pattern Recognit..

[17]  Murray Eden,et al.  Experiments on Computer Recognition of Connected Handwritten Words , 1964, Inf. Control..

[18]  C. Tappert An Adaptive System for Handwriting Recognition , 1986 .

[19]  Jean Paul Haton,et al.  A Syntactic Approach for Handwritten Mathematical Formula Recognition , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[20]  John R. Wilson Video displays, work and vision: National Research Council, 1983. Washington, DC, National Academy Press, pp 273 + xiii. US $14.50 (paperback). , 1985 .

[21]  Ben Shneiderman,et al.  Direct Manipulation: A Step Beyond Programming Languages , 1983, Computer.

[22]  Nilo A Lindgren,et al.  Machine recognition of human language Part III - Cursive script recognition , 1965, IEEE Spectrum.

[23]  J. D. Gould,et al.  Doing the Same Work with Hard Copy and with Cathode-Ray Tube (CRT) Computer Terminals , 1984 .