CHINESE CHARACTER STROKE REGISTRATION

The experimental results show that our method strongly outperforms the baselines. Count the mouths, eyes and legs on various numbers of frogs. In, the Chinese character stroke order begins with two horizontal strokes, followed by a vertical. This simple page uses the old Chinese nursery rhyme shù qngw-Counting Frogs to practice numbers, simple addition and measure words. In order to verify the effectiveness of the method, we construct two datasets respectively for calligraphy characters and regular handwriting characters. Best remembered as the counter to rule 11, rule 12 requires that dots on the inside or upper-right are written after every other stroke.

CHINESE CHARACTER STROKE REGISTRATION

In the stroke registration, we propose a structure deformable image registration network to achieve structure-deformable transformation while maintaining the stable morphology of single strokes for character images with complex structures. Stroke is the basic element of Chinese character and stroke extraction has been an important and long-standing endeavor. This method consists of three parts: image registration-based stroke registration that establishes the rough registration of the reference strokes and the target as prior information image semantic segmentation-based stroke segmentation that preliminarily separates target strokes into seven categories and high-precision extraction of single strokes. In this paper, we propose a deep learning-based character stroke extraction method that takes semantic features and prior information of strokes into consideration. Includes Simplified Characters, Traditional Characters, Pinyin, Stroke-Order, and Audio. For example, in the character, the radical (n, meaning female, woman) is on the left side of the character and in the character (chung to rush, to break through) the radical (mén, door) is outside. These methods usually lead to errors of cross strokes extraction and stroke matching due to rarely using stroke semantics and prior information. There are 214 radicals in the Chinese language and they can appear just about anywhere in a character. One, two and three are quite easy to remember, since one is one stroke, two is two strokes, etc. Hung, with its incredible 172 strokes, is generally regarded as Chinese writings most fiendishly difficult character. Incidentally, the characters for two (èr) and three (sn) are also simple horizontal strokes. The most existing character stroke extraction methods focus on image morphological features. The character for one in Chinese is simply one horizontal stroke. Stroke extraction of Chinese characters plays an important role in the field of character recognition and generation. Institute of Automation，Chinese Academy of SciencesĬV: Other Foundations of Computer Vision, CV: Applications, CV: Biometrics, Face, Gesture & Pose, CV: Computational Photography, Image & Video Synthesis, CV: Medical and Biological Imaging, CV: Object Detection & Categorization Abstract School of Artificial Intelligence, University of Chinese Academy of Sciences Institute of Automation, Chinese Academy of Sciences