MSER Based Object Character Recognition Technique
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6
Abstract
Recognition of detected text from any image is challenging but it is essential to do so. In this paper, we propose an effective and accurate algorithm namely advanced maximally stable extremal regions (msers) as main character candidates and these character candidates are filtered by stroke width variation for removing regions where the stroke width exhibits too much variation. For the detection of text regions, firstly some pre-processing is applied to the natural image and then after detecting msers, an intersection of canny edge and mser region is produced to locate regions that are even more likely to belong to text. Finally, to select the text region we take it as an input of a novel optical character recognition (ocr) technique so that the text is usable. The evaluation result substantiates 70% accuracy.
Authors and Affiliations
Bhaskar B, Manjushree R M, Meeth Kumar R Kantesaria, Nagendra S
Keywords
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