Chinese characters have a valuable property, this is, numerous Chinese characters are
composed of a compact set of fundamental and structural radicals. This paper introduces a …

Chinese characters have a huge set of character categories, more than 20, 000 and the
number is still increasing as more and more novel characters continue being created …

The recognition of Chinese characters has always been a challenging task due to their huge
variety and complex structures. The current radical-based methods fail to recognize Chinese …

Chinese character recognition has attracted much research interest due to its wide
applications. Although it has been studied for many years, some issues in this field have not …

The recognition methods for Chinese text lines, as an important component of optical
character recognition, have been widely applied in many specific tasks. However, there are …

Existing methods for zero-shot Chinese character recognition usually exploit a single type of
side information such as radicals, glyphs, or strokes to establish a mapping with the input …

Abstract The Convolutional Recurrent Neural Networks (CRNN) have achieved a great
success for the study of OCR. But existing deep models usually apply the down-sampling in …

Zero-shot Chinese character recognition (ZSCCR) is an important research topic in Chinese
character recognition as it attempts to recognize unseen Chinese characters. As basic …

This paper studies the challenging problem of zero-shot Chinese text recognition, which
requires the model to train on text line images containing only the seen characters, and then …

Optical character recognition (OCR) methods have been applied to diverse tasks, eg, street
view text recognition and document analysis. Recently, zero-shot OCR has piqued the …