Feb. 6, 2024, 5:45 a.m. | Adem Akdo\u{g}an Murat Kurt

cs.LG updates on arXiv.org arxiv.org

In this work, product tables in invoices are obtained autonomously via a deep learning model, which is named as ExTTNet. Firstly, text is obtained from invoice images using Optical Character Recognition (OCR) techniques. Tesseract OCR engine [37] is used for this process. Afterwards, the number of existing features is increased by using feature extraction methods to increase the accuracy. Labeling process is done according to whether each text obtained as a result of OCR is a table element or not. …

algorithm character recognition cs.ai cs.cv cs.ir cs.lg cs.ne deep learning features images invoice ocr optical optical character recognition process product recognition table tables tesseract text via work

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