Comparison of scanned administrative document images

01/29/2020
by   Elena Andreeva, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
12/16/2022

Geometric Rectification of Creased Document Images based on Isometric Mapping

Geometric rectification of images of distorted documents finds wide appl...
research
08/24/2015

A Framework for Comparing Groups of Documents

We present a general framework for comparing multiple groups of document...
research
10/06/2017

Czech Text Document Corpus v 2.0

This paper introduces "Czech Text Document Corpus v 2.0", a collection o...
research
03/29/2018

High Capacity Image Data Hiding of Scanned Text Documents Using Improved Quadtree

In this paper, an effective method was introduced to steganography of te...
research
09/09/2021

Tiny CNN for feature point description for document analysis: approach and dataset

In this paper, we study the problem of feature points description in the...
research
12/08/2017

A Method for Finding Similar Documents Relying on Adding Repetition of Symbols in Length Based Filtering

A basic topic in mining of massive dataset is finding similar items. As ...
research
04/03/2020

A Fast Fully Octave Convolutional Neural Network for Document Image Segmentation

The Know Your Customer (KYC) and Anti Money Laundering (AML) are worldwi...

Please sign up or login with your details

Forgot password? Click here to reset