CAJ | 학술논문

针对文本图像拍摄质量低下，而导致OCR系统识别率不稳定的问题，本文提出了一种基于文字笔画结构的文本图像校正算法，主要是在图像的预处理中对待处理像素点进行基于文字笔画结构的特征分析，实现目标和背景像素的校正，再结合局部二值化算法进行处理，分析其噪音分布特点采用邻域去噪进一步优化处理结果。实验表明，本文算法能够很好的适用于处理质量低下的文本图像，处理效果从视觉图像和识别率上都能满足应用需求。
침대문본도상박섭질량저하，이도치OCR계통식별솔불은정적문제，본문제출료일충기우문자필화결구적문본도상교정산법，주요시재도상적예처리중대대처리상소점진행기우문자필화결구적특정분석，실현목표화배경상소적교정，재결합국부이치화산법진행처리，분석기조음분포특점채용린역거조진일보우화처리결과。실험표명，본문산법능구흔호적괄용우처리질량저하적문본도상，처리효과종시각도상화식별솔상도능만족응용수구。
Given the facts that OCR system recognition is unstable because of the low quality text image, this paper put forward a text image correction algorithms base on the structure of text strokes. The algorithm is mainly to analysis the characteristics of the processing pixel based on the text strokes structure, in order to correct the goals pixel and background pixel. Then, combined with local binary processing algorithm for processing, and using neighborhood de-noising method to further optimized image de-noising , The experimental results show that the method can be applied to deal with poor quality text images, and the visual effects and image recognition rate can meet the application.