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A CCD based machine vision system for real-time text detection.

Shihua Zhao¹, Lipeng Sun¹, Gang Li²

¹State Grid Hunan Electric Power Corporation Limited Research Institute, Changsha, 410007, China.

Frontiers of Optoelectronics

|January 15, 2023

Summary

This summary is machine-generated.

This study introduces a faster machine vision system for real-time text detection in invoices. Optimizations in optics, hardware, and deep learning enable industrial applications.

Keywords:

deep learning machine vision optical character recognition (OCR)text detection

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Area of Science:

Computer Vision
Machine Learning
Image Processing

Background:

Text detection and recognition are advanced areas of computer vision, building upon traditional Optical Character Recognition (OCR).
Deep learning has significantly improved text recognition accuracy, but detecting text in complex natural scenes remains challenging.
Existing natural scene text detection algorithms are often too slow for industrial applications due to complex pipelines.

Purpose of the Study:

To develop a Charge-Coupled Device (CCD) based machine vision system for real-time text detection in invoice images.
To enhance the speed performance of machine vision systems for industrial text detection.

Main Methods:

Implemented optimizations across the optical system, hardware architecture, and deep learning algorithms.
Focused on improving the overall speed and efficiency of the text detection pipeline.
Utilized a CCD-based system for image acquisition.

Main Results:

Experimental data confirms significant improvements in the running speed of the machine vision system.
The developed system meets the real-time text detection requirements for industrial scenarios.
Optimizations effectively addressed the speed limitations of previous algorithms.

Conclusions:

The proposed CCD-based machine vision system achieves real-time text detection in industrial settings.
Multi-aspect optimizations are effective in accelerating machine vision systems for text detection.
This work bridges the gap between advanced text detection capabilities and industrial application demands.