Online Preprocessing of Handwritten Gurmukhi Strokes

• Autorzy: Sharma A. , Sharma R. K. , Kumar R.
• Języki publikacji: EN

Abstrakty

EN

In this paper, the authors have implemented preprocessing algorithms for online handwritten Gurmukhi strokes in order to find the improvements in recognition of four high-level features (loop, headline, straight line and dot) of Gurmukhi strokes. Preprocessing algorithms include size normalization and centering, interpolating missing points, smoothing, slant correction and resampling of points. Recognition algorithms for the above mentioned four high-level features are also introduced in this paper. Experiments have been conducted across 60 writers and 5%, 3.33%, 6.66% and 8.34% improvements have been observed for recognition of loop, headline, straight line and dot features, respectively, after using preprocessing algorithms.

Słowa kluczowe

EN

recognition; preprocessing; high-level features

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2009
• Tom: Vol. 18, No. 1
• Strony: 105--120
• Opis fizyczny: Bibliogr. 28 poz., wykr.

Twórcy

autor

Sharma A.

autor

Sharma R. K.

autor

Kumar R.

• Department of Mathematics, Panjab University, Chandigarh-160014, INDIA,

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