Artificial Intelligence 4 min read

ID Card OCR Project Using JavaCPP, OpenCV, and Tess4j

This article describes a Java-based ID card number recognition project that integrates Tess4j with JavaCPP to leverage OpenCV functionality without requiring a separate OpenCV installation, outlines required software, troubleshooting steps, recent updates, and provides the project repository link.

Java Architect Essentials
Java Architect Essentials
Java Architect Essentials
ID Card OCR Project Using JavaCPP, OpenCV, and Tess4j

The project integrates Tess4j with JavaCPP to perform ID card number recognition without needing a separate OpenCV installation, reconstructing the entire workflow by loading required C++ libraries via JavaCPP.

A runtime error (java.lang.UnsatisfiedLinkError) occurred due to missing C++ runtime libraries; the issue was resolved by installing the 64‑bit VC redistributable (vc_redist.x64.exe) in the img directory.

The recognition service is accessible at http://localhost:8080/idCard/index , built on the open‑source OpenCV library, written in Java, and achieves over 90% accuracy on clear images for ID card numbers.

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; the original page is now idcard_bak.html .

Unified 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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image processingOCRopencvID CardTess4JJavaCPP
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