OCR Fonts Revisited for Camera-Based Character Recognition
OCR Fonts Revisited for Camera-Based Character Recognition
复制标题
DOI：
10.1109/icpr.2006.891
复制
发表时间：
2006-08
期刊：
影响因子：
--
通讯作者：
S. Uchida;M. Iwamura;S. Omachi;K. Kise
中科院分区：
文献类型：
--
作者：
S. Uchida;M. Iwamura;S. Omachi;K. Kise
为了实现准确的基于摄像头的字符识别，将机器可读的类信息嵌入到每个字符图像中。具体来说，每个字符图像都印有一个由五个条纹组成的图案，由图案得出的交叉比率代表类别信息。由于交叉比是射影不变量，因此无论相机角度如何，都可以正确提取类信息。仿真实验结果表明，在严重投影失真的情况下，提取的交叉比的识别率达到99%以上
In order to realize accurate camera-based character recognition, machine-readable class information is embedded into each character image. Specifically, each character image is printed with a pattern which comprises five stripes and the cross ratio derived from the pattern represents class information. Since the cross ratio is a projective invariant, the class information is extracted correctly regardless of camera angle. The results of simulation experiments showed that recognition rates over 99% were obtained by the extracted cross ratio under heavy projective distortions