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What is Optical Character Recognition

Artificial Intelligence Approaches to Sustainable Accounting
The process that converts an image of text into a machine-readable text format.
Published in Chapter:
How Artificial Intelligence Can Help Accounting in Information Management
Albérico Travassos Rosário (GOVCOPP, IADE, Universidade Europeia, Portugal)
Copyright: © 2024 |Pages: 28
DOI: 10.4018/979-8-3693-0847-9.ch005
Abstract
Artificial intelligence can greatly assist accounting professionals in information management, streamlining processes, and improving overall efficiency. AI-powered software can automate data entry tasks by extracting relevant information from documents, such as invoices, receipts, and bank statements. AI algorithms can analyze financial data and identify patterns or anomalies indicative of fraud or financial irregularities. AI can analyze historical financial data and market trends to provide predictive insights, helping businesses anticipate future financial challenges and opportunities. Human accountants will continue to play a vital role in interpreting AI-generated insights, making strategic decisions, and maintaining a human touch in client interactions. Based on the above, it is intended to systematically review the bibliometric literature on how artificial intelligence can help accounting in information management using the Scopus database to analyse 77 academic and/or scientific documents
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Digital Documents Recognition
The technology based on electronic conversion of scanned images of printed text into machine-encoded text.
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Innovations and Use of Assistive Technologies in Libraries of Institutions of Higher Learning
It is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine coded text.
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Analytics for Noisy Unstructured Text Data I
Translation of images of handwritten or typewritten text (usually captured by a scanner) into machine-editable text.
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Analytics for Noisy Unstructured Text Data II
Translation of images of handwritten or typewritten text (usually captured by a scanner) into machine-editable text.
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