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In this paper, we present a complete courtesy amount recognition system for Chinese bank checks. The system takes color bank check images as input and consists of three main processing steps: numeral string extraction, segmentation & recognition, and post-processing. They focus sequentially on: detection and extraction of numeral string; segmentation and recognition of the string; and further...
In this paper, we present a prototype system of courtesy amount recognition (CAR) for Chinese bank checks. The system deals with color check images and consists of five modules: skew correction, binarization, string extraction, segmentation and recognition. The whole system is designed under three principles: information fusion, complementary method combination and multi-hypotheses generation then...
A novel binarization method for courtesy amount recognition of color Chinese checks is proposed in this paper. It includes two steps: background removal and seal removal. In the first step, two complementary binarization methods (Otsu method and Niblack method) are combined. In the second step, a multi-stage method for seal removal is proposed. All the seal-like pixels whose colors are similar to...
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