A Post-Processing Method for Text Detection Based on Geometric Features
Deep learning text detection is generally divided into two steps: prediction candidate box of depth model and post-processing, and post-processing usually uses NMS or prediction box to merge and connect. At present, many methods of text detection can detect the character position of the document ima...
Main Authors: | Xiaogang Qiu, Shanxiong Chen, Rankang Li, Dingwang Wang, Xiaoyu Lin |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9366930/ |
Similar Items
-
Detective text of post-modernism: precedential phenomena as linguacultural markers of intertexuality
by: Tuova Ruzana Hamedovna
Published: (2015-12-01) -
Mixed Vertical-and-Horizontal-Text Traffic Sign Detection and Recognition for Street-Level Scene
by: Jiefeng Guo, et al.
Published: (2020-01-01) -
An Unsupervised Approach to Detecting and Correcting Errors in Text
by: Islam, Md Aminul
Published: (2011) -
An Unsupervised Approach to Detecting and Correcting Errors in Text
by: Islam, Md Aminul
Published: (2011) -
An Unsupervised Approach to Detecting and Correcting Errors in Text
by: Islam, Md Aminul
Published: (2011)