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- W2136409920 abstract "Segmentation is the most difficult problem in a handwritten character recognition system and often contributes major errors to its performance. To reach a balance of speed and accuracy, a filter distinguishing a connected image from an isolated image is required for multi-stage segmentation. The Fourier spectrum is promising in this problem. Since it is influenced by the stroke width, we propose a Fourier spectrum standardization method. Based on the standardized Fourier spectrum, a set of features and a fine-tuned criterion are presented to classify connected/isolated images. A theoretical analysis proves their rationality. Experimental results demonstrate that this criterion is better than other methods." @default.
- W2136409920 created "2016-06-24" @default.
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- W2136409920 date "1999-01-01" @default.
- W2136409920 modified "2023-09-27" @default.
- W2136409920 title "A new distinguishing algorithm of connected character image based on Fourier transform" @default.
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- W2136409920 doi "https://doi.org/10.1109/icdar.1999.791906" @default.
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