Artificial Intelligence 3 min read

ID Card Number Recognition Project Using JavaCV, OpenCV, and Tess4J

This article introduces a Java-based ID card number recognition project that integrates OpenCV, Tess4J, and JavaCPP to perform OCR without prior training, outlines the encountered library linking issue, lists required software, and details recent updates such as chunked uploads and OpenCV version upgrade.

Java Captain
Java Captain
Java Captain
ID Card Number Recognition Project Using JavaCV, OpenCV, and Tess4J

The project combines the open-source ID card OCR repository with Tess4J, allowing direct use without training, while also supporting optional training. It replaces the original OpenCV installation process by using JavaCPP to embed required C++ libraries, eliminating the need for a separate OpenCV setup. A new front‑end feature lets users select the recognition area, and the back‑end validates the extracted data. Images are optimized and cropped before OCR using Tess4J to recognize digits and the character "x".

Encountered Issue:

java.lang.UnsatisfiedLinkError caused by missing C++ runtime libraries; resolved by installing the 64‑bit Visual C++ Redistributable (vc_redist.x64.exe).

ID Card Number Recognition:

The service runs at http://localhost:8080/idCard/index , built on OpenCV and Java, offering high recognition rates (over 90% accuracy on clear images).

Required Software

Windows 7 64‑bit

JDK 1.8.0_45

JUnit 4

OpenCV 4.3

JavaCPP 1.5.3

Tess4J 4.5.1

Tesseract 4.0.0

Project Updates:

Replaced base64 image upload with WebUploader chunked upload to improve speed, especially on paid browsers; page renamed to idcard_bak.html .

Unified test image save paths into a configuration document.

Upgraded OpenCV from 3.4.3 to 4.3.

Project Repository: https://gitee.com/endlesshh/idCardCv

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Javaimage processingOCRopencvID CardTess4J
Java Captain
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Java Captain

Focused on Java technologies: SSM, the Spring ecosystem, microservices, MySQL, MyCat, clustering, distributed systems, middleware, Linux, networking, multithreading; occasionally covers DevOps tools like Jenkins, Nexus, Docker, ELK; shares practical tech insights and is dedicated to full‑stack Java development.

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