Mongolian is one of the most common written languages in China, Mongolia, and Russia.
Many printed Mongolian documents still remain to be digitized for digital library applications …

Handwritten character Recognition has created a notable attention in the field of pattern
recognition and in machine learning. Text Recognition and document Recognition have …

针对如何提高纸币识别率的问题, 该文提出一种改进深度卷积神经网络(DCNN) 的纸币识别算法.
该算法首先通过融合迁移学习, 带泄露整流(Leaky ReLU) 函数, 批量归一化(BN) …

开发了一种快速的纸币号自动识别系统, 能在捆钞的同时自动识别并记录下通过捆钞机上的纸币
号码. 该系统首先通过CCD 摄像头采集24 位彩色图像, 经过逻辑脊谷判断法分割, 投影法定位 …

实现自由式文字书写指导是文字书写智能指导系统的研究趋势. 该文面向自由式书写设计与实现
英文字母书写跟踪算法, 包括建立面向书写指导的大小写英文字母笔画与笔画关系类别 …

This paper proposes a statistical-structural character modeling method based on Markov
random fields (MRFs) for handwritten Chinese character recognition (HCCR). The stroke …

This paper proposes a Chinese character teaching system by using the Chinese character
structure theory and the 2D contour morphing technology. This system, including the offline …

This article presents an elegant technique for extracting the low-level stroke features, such
as endpoints, junction points, line elements, and curve elements, from offline printed text …

北京邮电大学信箱北京摘要本文提出了一种通用的基于部分空间方法的相似汉字识别算法,
该算法无须事先确定相似字组, 也不必人工选择各个相似字组的部分空间 …

Both efficient representation and robust classification are essential to high-performance
cursive offline handwritten Chinese character recognition. A novel multi-scale feature …