摘要
人工智能的不断发展带动着图像识别技术的飞速发展,各种研究图像识别的方法不断涌现,目前维吾尔语的研究尚处于初步探索阶段,因此寻找一个可靠软件对维语字符的识别很关键,文章重点讨论了维语图像的分割以及识别技术,包括图像归一化、傅里叶变换、模糊匹配法等关键技术,应用MATLAB软件,数学模型与计算机技术巧妙结合实现对数字图像的识别及处理,仿真结果对维吾尔语文字识别研究具有一定意义。
The development of artificial intelligence led the rapid development of the technology of image recognition,image recognition methods continue to emerge, the Uighur study is still in the preliminary stage, so looking for a reliableidentification of Uighur character software is the key, this paper focuses on the segmentation of Uighur image andrecognition technology, including image normalization, Fourier transform, fuzzy matching method, key technology,application of MATLAB software, mathematical model and computer technology combined and recognition of digital imageprocessing, the simulation result has a certain significance to the study of word recognition in Uyghur language.
出处
《电脑与信息技术》
2017年第6期37-39,47,共4页
Computer and Information Technology
