FAN-MCCD: Fast and Accurate Network for Multi-Scale Chinese Character Detection.

ABSTRACT: Inaccurate localization due to scale-variation during character detection causes a widespread issue overconfidence in results of the document analysis community, for the most part in historical and handwritten documents. In this work, we explored the performance of a state-of-the-art network with a simple pipeline that fast and accurately predicts handwritten Chinese characters in old documents. In order to adapt to locations of characters with multi-scale more precisely, excluding pre-processing and in-between steps, we utilized a network with multi-scale feature maps. Then, across each feature map, pre-selected boxes of unalike scales and aspect ratios were employed. The last step was to prune the bounding boxes, sending them to non-maximum suppression to yield the final results. Focusin

SUBMITTER: Alnaasan M 

PROVIDER: S-EPMC8586960 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature