期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：9
DOI：10.15680/IJIRCCE.2015. 0309122
出版社：S&S Publications
摘要：Text in an image provide vital information for interpreting its contents and text in a scene can aid avariety of tasks from navigation to obstacle avoidance and odometry. Detecting text in an image is a challengingresearch problem. Due to widely varying forms of natural text, a bottom up approach which reflect the characterness ofan image in a region is proposed. Most of the text detection methods fail to detect text with low resolution or text inlightning condition. In this paper an LDR (Low Dynamic Range) image is converted into an HDR (High DynamicRange)image, Since HDR images can't be taken directly due to its contrast, difficulty to display in screen etc., convertit to LDR image which is a combination of different brightness using tone mapping and with this image as inputcandidate region containing text is extracted then characterness evaluation is performed and after that character islabeled. This approach has an advantage that it has less complexity, less time consuming and has high precision andrecall.
关键词：HDR; Tone Mapping; Region Extraction; Characterness Evaluation; Character Labelling
