Automated Text line Segmentation and Table detection for Pre-Printed Document Image Analysis Systems
| Autor: | N. Shobha Rani, Aishwarya Govinda Rao, T. R Pruthvi, Nair B J Bipin |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
021110 strategic
defence & security studies Signal processing Computer science business.industry Carry (arithmetic) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies 02 engineering and technology Image segmentation Edge detection Image (mathematics) ComputingMethodologies_DOCUMENTANDTEXTPROCESSING 0202 electrical engineering electronic engineering information engineering Table (database) 020201 artificial intelligence & image processing Computer vision Segmentation Artificial intelligence Line (text file) business |
| Zdroj: | 2021 3rd International Conference on Signal Processing and Communication (ICPSC). |
| DOI: | 10.1109/icspc51351.2021.9451779 |
| Popis: | Document Image Processing is considered one of the widely used technologies today. It has proved to be extremely useful in digitizing physical documents to preserve them for longer times. The primary challenge in this work is to extract the overlapping lines from handwritten document images and table detection from pre-printed documents. In this research paper, we present a line segmentation and table detection algorithm suitable for pre-printed and handwritten documents. Initially, the input document image is preprocessed and a baseline is created for offline every peak to carry out line segmentation. Further, table detection is accomplished with the use of edge detection techniques and morphological operations |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|