CVJan 29, 2020

Comparison of scanned administrative document images

arXiv:2001.10785v14 citations
Originality Synthesis-oriented
AI Analysis

This work addresses a specific need in the banking sector for verifying document integrity, but it is incremental as it builds on existing image comparison techniques.

The paper tackled the problem of detecting modifications in scanned administrative documents, such as contracts, by proposing a method based on comparing word images using text feature point descriptors. Testing on the French Payslip Dataset demonstrated high quality and reliability in finding differences between document versions.

In this work the methods of comparison of digitized copies of administrative documents were considered. This problem arises, for example, when comparing two copies of documents signed by two parties in order to find possible modifications made by one party, in the banking sector at the conclusion of contracts in paper form. The proposed method of document image comparison is based on a combination of several ways of image comparison of words that are descriptors of text feature points. Testing was conducted on public Payslip Dataset (French). The results showed the high quality and the reliability of finding differences in two images that are versions of the same document.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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