Object Detection and Text Recognition in Large-scale Technical Drawings

被引：7
|
作者：
Nguyen, Trang M. [1 ,2 ]
Long Van Pham [1 ]
Chien Chu Nguyen [1 ]
Vinh Van Nguyen [1 ,2 ]
机构：
[1] VNUH, Univ Engn & Technol, Hanoi, Vietnam
[2] FPT Software, QAI, Hanoi, Vietnam
来源：
PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS (ICPRAM) | 2021年
关键词：
Digital Transformation; Object Detection; Optical Character Recognition;
D O I：
10.5220/0010314406120619
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this digital transformation era, the demand for automatic pattern extraction from printed materials has never been higher, making it one of the most eminent problems nowadays. In this paper, we propose a new method for pattern recognition in highly complex technical drawings. Our method is a pipeline system that includes two phases: (1) detecting the objects that contain the patterns of interest with improvements to processing large-scale image, and (2) performing character recognition on the objects if they are text patterns with improvements to post-processing task. Our experiments on nearly five thousand real technical drawings show promising results and the capability to reduce manual labeling effort to a great extent.
引用
收藏
页码：612 / 619
页数：8
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