Design of ID card recognition system based on OCR and STM32 microcontroller

Aiming at the problems of long entry time and high error rate of manual information collection, an ID card information collection system based on Optical Character Recognition (OCR) technology and STM32 was designed. The system uses STM32F103C8T6 and STM32H750XIT6 as the control core, through the control of OV5640 image collector to collect the ID card picture, and then through the microprocessor distortion correction algorithm to preprocess the picture, the processed picture data is transmitted to the host computer developed by C# language by USB serial port protocol. Finally, the image data is transmitted to the connected Baidu AI open platform through the upper computer and then receives the returned data, and then further decodes, displays the results to the upper computer interface, or automatically exports text and table data. Through the test, the system can effectively automate the whole process of ID card information acquisition and export, the hardware system to capture the image pixel is QVGA(320x240), the average time is about 1.6s, the identification is accurate and convenient, has a certain reference significance for modern intelligent office, cost reduction and efficiency.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/eiecc64539.2024.10929514
Primary Topic
Advanced Sensor and Control Systems
Type
article
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article

Design of ID card recognition system based on OCR and STM32 microcontroller

Lang Bai, Mingxing Li, Juan Yu
Advanced Sensor and Control Systems
article

Design of ID card recognition system based on OCR and STM32 microcontroller

Lang Bai, Mingxing Li, Juan Yu
article en

Abstract

Aiming at the problems of long entry time and high error rate of manual information collection, an ID card information collection system based on Optical Character Recognition (OCR) technology and STM32 was designed. The system uses STM32F103C8T6 and STM32H750XIT6 as the control core, through the control of OV5640 image collector to collect the ID card picture, and then through the microprocessor distortion correction algorithm to preprocess the picture, the processed picture data is transmitted to the host computer developed by C# language by USB serial port protocol. Finally, the image data is transmitted to the connected Baidu AI open platform through the upper computer and then receives the returned data, and then further decodes, displays the results to the upper computer interface, or automatically exports text and table data. Through the test, the system can effectively automate the whole process of ID card information acquisition and export, the hardware system to capture the image pixel is QVGA(320x240), the average time is about 1.6s, the identification is accurate and convenient, has a certain reference significance for modern intelligent office, cost reduction and efficiency.

Panzhihua University (CN)
Openalex Percentile: Top 64%
Advanced Sensor and Control Systems
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