Correction to: MRZ code extraction from visa and passport documents using convolutional neural networks

International Journal on Document Analysis and Recognition (IJDAR)(2024)

引用 8|浏览50
暂无评分
摘要
Detecting and extracting information from the machine-readable zone (MRZ) on passports and visas is becoming increasingly important for verifying document authenticity. However, computer vision methods for performing similar tasks, such as optical character recognition, fail to extract the MRZ from digital images of passports with reasonable accuracy. We present a specially designed model based on convolutional neural networks that is able to successfully extract MRZ information from digital images of passports of arbitrary orientation and size. Our model achieves 100% MRZ detection rate and 99.25% character recognition macro-f1 score on a passport and visa dataset.
更多
查看译文
关键词
MRZ,Convolutional neural network,Object detection,OCR,End-to-end recognition
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要