汉字图像识别是计算机视觉与模式识别技术的重要应用领域。
The recognition of Chinese characters is an essential applied field of computer vision and pattern recognition technology.
通过粗分类、特征提取、判别与反馈校正，以提高汉字图像识别适应性和识别准确率。
The coarse classification, characteristics pick-up, judgement and feedback are used in the machine to increase the recognition adaptability and accuracy.
通过对汉字图像库和人脸图像库的图像识别实验表明，该算法比其他学习算法的识别率高，并能较快地收敛到极小值。
The experiments of the recognition of Chinese characters and face images show that the new algorithm is more efficient in convergence property and recognition rate.
显然，研究机器模仿人类的视觉感知过程不论对汉字识别，乃至图像识别都是具有极其重要意义的。
Obviously, it is very important for Chinese character recognition, even for image recognition that we do some research on the course of man ocular apperceive.
显然，研究机器模仿人类的视觉感知过程不论对汉字识别，乃至图像识别都是具有极其重要意义的。
Obviously, it is very important for Chinese character recognition, even for image recognition that we do some research on the course of man ocular apperceive.
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