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@article{158600,
        author = {Shreya Ekande and Yash Chavan and Vaishnavi Gurav and Rajat Joshi and Vandana Rupnar},
        title = {A Comparative study of OCR Engines for Invoice Analysis},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {10},
        pages = {117-120},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=158600},
        abstract = {OCR is a technology used to extract text from images and documents via mechanical or electronic means. OCR engines have been developed into many kinds of domain-specific OCR applications. Thus, commercial off-the-shelf (COTS) OCR software packages have become powerful tools for quick develop- ment. This paper studies major COTS OCR software. In today’s world where most of our mundane and repetitive tasks have been automated, still in a B2B or even B2C industry we have one task which is still majorly done with manual labor that is invoice analysis and bookkeeping. As a result, automating invoice analysis aids in the task automation.},
        keywords = {OCR, Text Detection, Table Extraction, Entity Extraction},
        month = {},
        }