Research on artificial intelligence of accounting information processing based on image processing.

accounting information processing artificial intelligence image processing

Journal

Mathematical biosciences and engineering : MBE
ISSN: 1551-0018
Titre abrégé: Math Biosci Eng
Pays: United States
ID NLM: 101197794

Informations de publication

Date de publication:
09 06 2022
Historique:
entrez: 8 7 2022
pubmed: 9 7 2022
medline: 12 7 2022
Statut: ppublish

Résumé

The rapid development and wide application of artificial intelligence is deeply affecting all aspects of human society. Combine artificial intelligence with the accounting industry, use computers to efficiently and automatically process accounting information, and let the accounting industry move towards the intelligent era. This can help people reduce the workload and speed up work efficiency. In recent years, with the rapid development of economy and technology, the use of financial instrument vouchers has exploded, but the processing requirements of financial instrument vouchers have become more and more efficient. Traditional accounting information processing methods, due to the staff's energy and ability, it is often difficult to quickly and accurately handle accounting information. This makes the processing of accounting information lack of timeliness, the degree of utilization of accounting information by enterprises is relatively low, and the demand for intelligent processing of accounting information is constantly pressing. In view of the above problems, this paper uses image processing technology to intelligently identify the content of accounting information to achieve automatic ticket input, improve work efficiency, reduce error rate and reduce labor costs. By simulating the actual 230 invoice images, the results show that the recognition accuracy rate is as high as 98.7%. The results show that the method is effective and has great application value, which is of great significance to the artificial intelligence of accounting information processing.

Identifiants

pubmed: 35801471
doi: 10.3934/mbe.2022391
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

8411-8425

Auteurs

Juanjuan Tian (J)

School of Management, Wuhan Donghu University, Wuhan 431202, Hubei, China.

Li Li (L)

School of Management, Wuhan Donghu University, Wuhan 431202, Hubei, China.

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Classifications MeSH