Smart Text: A Synthesis of Recognition and Morphing
by James Arvo and Kevin Novins. AAAI Smart Graphics Symposium,
March 2000.
Abstract
We present a new approach to managing the appearance of handwritten
symbolic information for pen-based systems in which text is recognized
and gradually transformed into clean typography. The approach is best
suited to pen-based symbolic input and manipulation in which the user
interacts directly with the display. Once a collection of user-drawn
strokes has been recognized as comprising a specific symbol, the
strokes begin a gradual metamorphosis into the corresponding raster
image from an appropriate font. The tranformation retains legibility
at all intermediate stages and can proceed smoothly at widely
differing rates. The metamorphosis is accomplished by an energy-based
stroke correspondence algorithm, followed by level-set shape
tranformation that gradually introduces characteristic features of a
given font, such as serifs and spurs. This techniques leads to a
qualitatively different form of pen-based interaction in which the
user enjoys the benefits of character recognition and highly legible
typefaces without abrupt changes in appearance or positioning of the
text. The interplay between hand-written symbols and pre-defined
raster fonts suggests a number of new methods for correcting character
recognition errors; for instance, the recognizer can be given
additional hints by "touching up" an incorrectly recognized symbol.
Availability
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Last modified: February 2000.