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- W2030051889 abstract "This paper describes an online isolated character recognition system using advanced techniques of pattern smoothing and Direction Feature (DF) extraction. The composition of direction elements and their smoothing are directly performed on online trajectory, and therefore, are computationally efficient. We compare recognition performance when DFs are formulated using Smoothed Direction Vectors (SDV) and Unsmoothed Direction Vectors (UDV). In experiments, direction features from original pattern yielded inferior performance, whereas primitive sub-character direction features using smoothed direction-encoded vectors made significant difference. Recognition rates were improved by about 7% and 5% using SDV when compared with UDV and smoothed with Moving Average (MA) technique, respectively." @default.
- W2030051889 created "2016-06-24" @default.
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- W2030051889 date "2010-01-01" @default.
- W2030051889 modified "2023-09-26" @default.
- W2030051889 title "Performance analysis of a proposed smoothing algorithm for isolated handwritten characters" @default.
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- W2030051889 doi "https://doi.org/10.1504/ijaisc.2010.038638" @default.
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