학술논문

Docscanner: document location and enhancement based on image segmentation
Document Type
Conference
Source
2022 18th International Conference on Computational Intelligence and Security (CIS) CIS Computational Intelligence and Security (CIS), 2022 18th International Conference on. :98-101 Dec, 2022
Subject
Computing and Processing
Image segmentation
Semantic segmentation
Computational modeling
Entropy
Security
Computational intelligence
Document Scanner
Document Processing
Semantic Segmentation
Language
Abstract
Document scanning aims to transfer the captured photographs documents into scanned document files. However, current methods based on traditional or key point detection have the problem of low detection accuracy. In this paper, we were the first to propose a document processing system based on semantic segmentation. Our system uses OCRNet to segment documents. Then, perspective transformation and other post-processing algorithms are used to obtain well-scanned documents based on the segmentation result. Meanwhile, we optimized OCRNet's loss function and reached 97.25 MIoU on the test dataset.