Abstract
Using handwriting as a means of input to a computer has several advantages, currently not appreciated sufficiently. The use of pen (and paper) gives the user the opportunity of providing the computer with textual and graphic information in a “natural” fashion and it is expected that the keyboard will continue to be an obstacle for large-scale human-computer interaction. Equivalent arguments have been used by Zue (1985) for speech recognition, and speaker verification or recognition, but in spite of years of effort the performance of the available (commercial) speech recognition systems is still inferior to that of humans. Since the early 1960s efforts have been made towards computer recognition of handwriting. The disappointing results made it necessary to restrict the set of patterns to be recognized. Methods used in attempts to improve recognition results include limitation of the set of characters to be recognized (e.g., to digits; Impedovo, Marangelli, & Plantamura, 1976; Shridhar, & Badreldin, 1985), use of standard character types (Apsey, 1978), and imposition of spatial restrictions (Spanjersberg, 1978; Suen, 1979).
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Maarse, F.J., Schomaker, L.R.B., Teulings, HL. (1988). Automatic Identification of Writers. In: van der Veer, G.C., Mulder, G. (eds) Human-Computer Interaction. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-73402-1_22
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DOI: https://doi.org/10.1007/978-3-642-73402-1_22
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