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This paper presents a new image labeling approach that implicitly incorporates top-down information using content-based image retrieval (CBIR) with conditional random field (CRF) model. To reduce the content ambiguities a small content similar training set for CRF labeling is built using retrieved matches from CBIR. To achieve global consistency of image labeling, a novel CRF probabilistic model with...
Image-based magnetic ink character recognition (MICR) is a challenging research topic in the automatic check processing. In this paper, a novel ensemble classifier system, which consists of three artificial neural networks (ANNs) and a gating network, is used to congregate the recognition results in order to increase the recognition rate and reliability at the same time. A fast and efficient scheme...
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