盲人英语自助学习中的字母图像自动识别方法优化

Optimization of letter image automatic recognition method in English self-learning for blind

采用字母图像的特征点检测方法进行信息标定,实现图像自动识别,为盲人进行英语自助学习提供向导。提出一种基于字母角点分量小波三级提升分解的字母图像自动识别方法,对原始的字母图像进行盲人视觉信息空间重构,对重构的图像进行小波分解,实现字母信息特征分布角点的检测;并采用小波三级提升分解实现图像信息增强,实现字母图像自动识别改进。仿真结果表明,采用该方法进行字母图像自动识别的准确度较高,提高了图像的输出信噪比及归一化配准度,可有效指导盲人英语自助学习。

The feature point detection method of letter image is used to calibrate the information to realize the image automatic recognition and guide the blind for English self?learning.A letter image automatic recognition method based on wavelet three?level lifting decomposition of alphabet corner component is proposed to reconstruct the vision information space of blind,and detect the feature distribution angular point of letter information.The wavelet three?level lifting decomposition is used to enhance the image information to improve the letter image automatic recognition.The simulation results show that the method has high accuracy for letter image automatic recognition,improves the output signal?to?noise ratio and normalized matching degree of the image,and can guide the blind for English self?learning effectively.