An Automated Invoice Handling Method Using OCR

Kumar, Pranay; Revathy, S.

doi:10.1007/978-981-15-8530-2_19

Cited by 4 publications

(1 citation statement)

References 4 publications

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“…In practical work, it is common to have pre-defined form templates. For example, in common scenarios such as opening a bank account, insurance claims [27], and school exams, the same format of forms is often used to collect information. The field positions and sizes of these forms are usually fixed, so it is possible to define the form template in The network structure consists of three parts: a convolutional layer, a recurrent layer, and a transcriptional layer [23].…”

Section: Field Matching Technologymentioning

confidence: 99%

Research on a Web System Data-Filling Method Based on Optical Character Recognition and Multi-Text Similarity

Su,

Kang,

Fan

2024

Applied Sciences

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In the development of web systems, data uploading is a relatively important function. The traditional method of uploading data is to manually fill out forms, but when the data to be uploaded mostly exist in the form of form images, and the form content contains a lot of similar field information and irrelevant edge information, using traditional methods is not only time-consuming and labor-intensive, but also prone to errors. This requires a technology that can automatically fill in complex form images. OCR is an optical character recognition technology that can convert images into digitized text data using computer vision methods. However, using this technology alone cannot complete the tasks of extracting relevant data and filling corresponding fields. To address this issue, this article proposes a method that combines OCR technology and Levenshtein multi-text similarity. This method can effectively solve the problem of data filling after parsing complex form images, and the application results of this method in web systems show that the filling accuracy for complex form images can reach over 90%.

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Section: Field Matching Technologymentioning

confidence: 99%

Research on a Web System Data-Filling Method Based on Optical Character Recognition and Multi-Text Similarity

Su,

Kang,

Fan

2024

Applied Sciences

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Digital maturity index for accounting firms

Hentati,

Boulila

2023

JAOC

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Purpose This study aims to develop a maturity model designed for assessing the current state of digitization in accounting firms. Design/methodology/approach The authors have developed this index where the maturity levels are defined from the life cycle theory. For the items of a maturity measure, the authors have adopted a multimethodological approach. That approach allows to identify 27 measurement items to cover the three dimensions of audit, reporting and taxation. Findings This research proposes a diagnostic tool specific to accounting firms. The authors have tested this index in the Tunisian context. The results show that there are two types of accounting firms. This study found the first firm in the embryonic phase and the other in the growth phase. This points out the active role of Tunisian accounting firms in technology integration. Research limitations/implications This study highlights the integration of technology in the accounting field. Specifically, it aims to address technology management in accounting firms by measuring the degree of digitization of accounting firms. This research projects the use of information technologies (artificial intelligence, cloud, big data, etc.) in auditing, reporting and taxation. Practical implications On a practical level, this research provides an organizational diagnostic tool to assess the status of their accounting firms in terms of digitization. This will motivate practitioners to make frequent assessments, thus contributing to continuous improvement toward digitization. Originality/value The theoretical foundation of this research is based on the theory of the life cycle of technologies. This study is using this theory to identify and describe the current phase of the organization. And that is by indicating the overall scores on the technological capabilities of the accounting firms.

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