Robust Text Detection and Recognition in Natural Scene Images |
Author(s): |
| Dhruv Patel , Silver oak college of engineering , Ahmedabad, gujarat; Jil Thaker, SILVER OAK COLLEGE OF ENGINEERING, AHMEDABAD, GUJARAT |
Keywords: |
| Robust Text, Detection, Recognition, Natural Scene Images |
Abstract |
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We propose a hybrid text detection and localization approach by combining region-based and CC-based information. At the pre-processing stage, a text region detector is designed to detect text regions in each layer of the image pyramid and project the text confidence and scale information back to the original image, scale-adaptive Binarization is then applied to generate candidate text components. At the connected component analysis (CCA) stage, a CRF model combining unary component properties (including the text confidence) and binary contextual component relationships is used to filter out non-text components. At the last stage, neighboring text components are linked with a learning-based classification – regression tree. To design a text region detector and group text components into text lines/words will be effectively analyzed. |
Other Details |
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Paper ID: IJSRDV6I20983 Published in: Volume : 6, Issue : 2 Publication Date: 01/05/2018 Page(s): 1274-1278 |
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