报纸
人工智能
计算机科学
历史
自然语言处理
媒体研究
社会学
作者
Atul Kumar,Gurpreet Singh Lehal
出处
期刊:Lecture notes in electrical engineering
日期:2024-01-01
卷期号:: 409-418
标识
DOI:10.1007/978-981-99-8661-3_30
摘要
For many years, newspapers have been excellent providers of information. To extract meaningful information, it is imperative to digitize these newspapers. In the case of Punjabi newspapers, the same is necessary. In this study, we used newspaper image segmentation to separate the various articles from the Punjabi newspapers. Different barriers in the extraction of Punjabi newspapers are discussed. Also, we have assembled a dataset of 400 newspaper images, and these images have been trained using cutting-edge object detection models Faster RCNN. The experimental results show that these models for extracting articles produced good outcomes with average accuracy of 81.8% for all classes.
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