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.
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