Abstract
This study presents a novel deep learning based two-stage algorithm for extracting information from Vietnamese book cover images. First, the Vi-BCI dataset, which is the first dataset for Vietnamese book cover information extraction, was built. This dataset contains 7,875 images of Vietnamese book covers annotated with the text location on the cover, the text content, the text label Title, Author, and Publisher of the books. Next, a novel two-stages deep learning based algorithm is proposed and implemented on the Vi-BCI dataset to extract text information presented on book cover images. The experimental results show that the proposed algorithm archives an outstanding performance of information extraction with the accuracy of 95.50%.
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