Although lots of progress were made in Text Recognition/OCR in recent years, the task of font recognition is remaining challenging. The main challenge lies in the subtle difference between these similar fonts, which is hard to distinguish. This paper proposes a novel font recognizer with a pluggable module solving the font recognition task. The pluggable module hides the most discriminative accessible features and forces the network to consider other complicated features to solve the hard examples of similar fonts, called HE Block. Compared with the available public font recognition systems, our proposed method does not require any interactions at the inference stage. Extensive experiments demonstrate that HENet achieves encouraging performance, including on character-level dataset Explor_all and word-level dataset AdobeVFR
翻译:尽管近年来在文本识别/OCR方面取得了许多进展,但字体识别的任务仍然具有挑战性。主要挑战在于这些相似的字体之间的微妙差异,很难区分。本文件提议了一个新的字体识别器,其中含有一个可插入模块,用于解决字体识别任务。插头模块隐藏了最有歧视的可访问功能,迫使网络考虑其他复杂特征,以解决类似字体的硬示例,称为HE Block。与现有的公开字体识别系统相比,我们建议的方法不需要在推断阶段进行任何互动。广泛的实验表明,HENet取得了令人鼓舞的业绩,包括在字符级数据集“探索”和字级数据集AdobeVFR方面。