小波分析在文字识别中的应用

The Application of Wavelet Analysis in Character Recognition

小波分析是新兴的用于科学和技术领域中的分析理论,能够科学、迅速地解决文字信号、图像信号等信号在时空域中的分辨率和奇异性位置等问题,成为分析发展史上重要的里程碑。与此同时,随着社会的发展,行业信息传递、存储成为重要的工作内容,因而加强小波分析在文字识别中的应用,能够将信号更好地分解交织在一起,收集更为微小的信号细节,赋予信号更多突变点诊断能力。因而,文章从小波分析的相关发展入手,探究文字识别中分析的相关信息,从而进一步探究小波分析在文字识别中的应用,旨在提高小波分析的实践效能,提升文字识别在社会各行业发展中的积极作用,推动社会各行业中信号传送的发展。

Wavelet analysis is emerging for science and technology in the field of theoretical analysis, to solve the text signals, image signals and other signals in temporal and spatial domain resolution and singularity position in scientific swift and analysis to be a milestone in the history of the development of important. At the same time, with the development of society, industry information transfer, store to become the important work content, thus strengthening the wavelet analysis in character recognition application, to better signal decomposition are intertwined and collect more tiny details of signal, giving the signal more sudden change point diagnosis ability. And from wavelet analysis in this paper is related to the development of character recognition in the analysis of the related information inquiry, so as to further explore the wavelet analysis in character recognition application, designed to improve practice efficiency of wavelet analysis, character recognition in the various sectors of society development to enhance the positive role, promote the development of all sectors of society in the signal transmission.