Fusion based text detection and localization for video image
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 4
Abstract
Text detection is much easier in images but it becomes complex with dealing with video images. Text is important for video indexing summarization and information retrieval text detection involves localization, extraction and recognition from the video images.Different size, style, alignment also low contrast and complex background poses difficulty in automatic detection of the text. In this paper a novel approach is purposed for text detection. The proposed algorithm uses various existing edge based text detection algorithm. Finally fusion process is applied to extract the text from the input image. Proposed method was tested on ICDAR-2003 dataset. Experiment result proves the effectiveness of proposed algorithm. The algorithm produces more significant result as compared to previous algorithms. Detection rate, midsection rate, false positive rate is used for accuracy assessment.
Authors and Affiliations
Amit Panwar, Himanshu Suyal
Keywords
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