Document boundary detection using deep learning model and image processing algorithms
US10970847B2 · kind B2 · utility
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Key dates
| Filing date | May 16, 2019 |
| Grant date | Apr 6, 2021 |
| Priority date | — |
| Expiry date | Jul 17, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30176
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are disclosed for document boundary detection (BD) from an input image using a combination of deep learning model and image processing algorithms. Quadrilaterals approximating the document boundaries in the input image are determined and rated separately using both these approaches: deep leaning using convolutional neural network (CNN) and heuristics using image processing algorithms. Thereafter, the best rated quadrilateral is selected from the quadrilaterals obtained from both the approaches.
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