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Improving Faster R-CNN Framework for Multiscale Chinese Character Detection and Localization
Minseong KIM Hyun-Chul CHOI
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2020/07/01
Online ISSN: 1745-1361
Type of Manuscript: LETTER
Category: Pattern Recognition
Chinese character localization, multiscale object detection, deep learning,
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Faster R-CNN uses a region proposal network which consists of a single scale convolution filter and fully connected networks to localize detected regions. However, using a single scale filter is not enough to detect full regions of characters. In this letter, we propose a simple but effective way, i.e., utilizing variously sized convolution filters, to accurately detect Chinese characters of multiple scales in documents. We experimentally verified that our method improved IoU by 4% and detection rate by 3% than the previous single scale Faster R-CNN method.