PPOCR源码，百度识别中文开源代码

Online handwritten Chinese text recognition (OHCTR) is a challenging problem as it involves a large-scale character set, ambiguous segmentation, and variable-length input sequences. In this paper, we exploit the outstanding capability of path signature to translate online pen-tip trajectories into informative signature feature maps using a sliding window-based method, successfully capturing the analytic and geometric properties of pen strokes with strong local invariance and robustness. A multi-spatial-context fully convolutional recurrent network (MC-FCRN) is proposed to exploit the multiple spatial contexts from the signature feature maps and generate a prediction sequence while completely avoiding the difficult segmentation problem. Furthermore, an implicit language model is developed to make predictions based on semantic context within a predicting feature sequence, providing a new perspective for incorporating lexicon constraints and prior knowledge about a certain language in the recognition procedure. Experiments on two standard benchmarks, Dataset-CASIA and Dataset-ICDAR, yielded outstanding results, with correct rates of 97.10% and 97.15%, respectively, which are significantly better than the best result reported thus far in the literature.

【达摩老生出品，必属精品，亲测校正，质量保证】 资源名：matlab中文字符的识别代码_matlab 资源类型：matlab项目全套源码 源码说明： 全部项目源码都是经过测试校正后百分百成功运行的，如果您下载后不能运行可联系我进行指导或者更换。 适合人群：新手及有一定经验的开发人员

Tesseract-OCR字符识别，包括中文英文的文字识别，里面可以训练自己的模型

crnn（基于pytorch、python3） 实现不定长中文字符识别-附件资源

crnn（基于pytorch、python3） 实现不定长中文字符识别-附件资源