Document classification for copy-mode decision

Kim, S.; Youn, Sei Jin; Baek, Seungyong; Lee, C.

doi:10.1109/gcce.2015.7398714

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Algorithm Overview and Hybrid Hard/soft-decision Algorithm1

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2016

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“…It can be added to the classifier [1], as shown in Fig. 1b. A disadvantage of this sequential classification approach is that an incorrect decision made early has no chance of being corrected [19]. For example, a photo document Figure 3a shows the structure of our new classifier using the classes from [1]; Fig.…”

Section: Algorithm Overview and Hybrid Hard/soft-decision Algorithmmentioning

confidence: 99%

Efficient and accurate document image classification algorithms for low-end copy pipelines

Huang¹,

Chen²,

Lin³

et al. 2016

J Image Video Proc.

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The copy mode selection, such as the text mode and photo mode, of a digital copy machine can provide suitable process and enhancement for the scanned image. To classify the scanned image without expensive hardware and reduce the running time, in this article, we designed an efficient automatic method for classifying a document image using a probabilistic decision strategy. The proposed algorithm is tailored to inexpensive hardware and significantly reduces both the running time and memory requirements compared to the existing algorithms, while substantially improving the classification accuracy. In addition, we incorporate a new classification module to help avoid moiré patterns by identifying periodic halftone noise.

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Section: Algorithm Overview and Hybrid Hard/soft-decision Algorithmmentioning

confidence: 99%