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Issue No.12 - December (1995 vol.17)
pp: 1233-1239
<p><it>Abstract</it>—The approach is based on an empirical parametric model for the writing hand system. The parameters are so chosen and quantized as to retain only broad shape information ignoring writer-dependent and other variability. Concatenation of character prototypes generates archetypal reference words for recognition; training is unnecessary. Recognition scores exceed 90%.</p>
Character synthesis, cursive script, decoding, encoding, feature matrices, on-line recognition, script recognition, shape vectors, transfer function, transition segments.
P.v.s. Rao, "A Knowledge-Based Approach for Script Recognition without Training", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.17, no. 12, pp. 1233-1239, December 1995, doi:10.1109/34.476518
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