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Published in:
2006 | OriginalPaper | Chapter
Stroke Number and Order Free Handwriting Recognition for Nepali
Authors : K. C. Santosh, Cholwich Nattee
Published in: PRICAI 2006: Trends in Artificial Intelligence
Publisher: Springer Berlin Heidelberg
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This paper utilizes
structural
properties of those alphanumeric characters, which have variable writing units. Writing units reveal number, shape, size, order of stroke, and speed in writing. It uses a string of pen tip’s positions and tangent angles of every consecutive point as a feature vector sequence of a stroke. We constructed a prototype recognizer that uses the “Dynamic Time Warping” (DTW) algorithm to align handwritten strokes with stored stroke templates and determine their similarity. Separate system is trained for original and preprocessed writing samples and achieved recognition rates of 85.87% and 88.59% respectively. This introduces novel real time handwriting recognition on Nepalese alphanumeric characters, which are independent of number of strokes, as well as their order.