Abstract
Conventional methods of managing invoices also call for unnecessary human capital. Invoice handling (IIH) has gained significant attention because it can increase process performance and save manpower costs as well. Among these procedures, one of the most critical steps is the extraction of usable data from invoices. Optical character recognition (OCR) technology is a technique that gives you full alphanumeric recognition of handwritten or printed characters present in images and the export of information. This paper focuses on automated invoice processing using OCR which is necessary in this case and that could help in the real-time applications. The objective is to extract details from invoices like invoice number, date, final payment amounts, and related descriptions of bills and invoices. The required information extracted from the invoice is exported into a database for future reference. The records from these invoices or bills can be used extensively later on for statistical analysis or in machine learning.
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Kumar, P., Revathy, S. (2021). An Automated Invoice Handling Method Using OCR. In: Jeena Jacob, I., Kolandapalayam Shanmugam, S., Piramuthu, S., Falkowski-Gilski, P. (eds) Data Intelligence and Cognitive Informatics. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-8530-2_19
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DOI: https://doi.org/10.1007/978-981-15-8530-2_19
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