手机文字识别中的暗角修正技术

Research on the Dark-corner Correcting in Cell Phone's Character Reorganization

为了提高手机图像的识别率,从手机文字扫描识别应用问题出发,在分析手机普遍存在的暗角退化特征的基础上,提出了一种从含有文字信息的图像中提取图像的暗角退化模型的方法;然后根据该暗角模型对输入图像进行复原,最终达到修正手机摄像模组暗角退化的目的。

From the point of word image recognition application in a cell phone. We analyzed the tunnel-effect feature which popularly existed in a cell phone and proposed a method which can abstract image from the word-contained images. The established model can rejuvenate the input image so as to finally resist vignetting from degradation of camera pattern in a cell phone.