现代电子技术2017，Vol.40Issue(12)：124-127,4.DOI:10.16652/j.issn.1004-373x.2017.12.034
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
摘要
Abstract
The feature point detection method of letter image is used to calibrate the information to realize the image auto-matic 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 en-hance 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.关键词
盲人/英语学习/图像自动识别/特征点检测Key words
blind/English learning/image automatic recognition/feature point detection分类
信息技术与安全科学引用本文复制引用
韩峰..盲人英语自助学习中的字母图像自动识别方法优化[J].现代电子技术,2017,40(12):124-127,4.基金项目
陕西省教育厅专项科研计划项目(11JK0456) （11JK0456）
