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Table of Contents

  1. Installation
  2. File Descriptions
  3. Using Process
  4. Author

1. Installation

To install via pip , use the command below, it will automatically install all the liberary used in this Repo. pip install Pdf-check-fraud

2. File Descriptions

Links to the corresponding codes, which are stored in the Code folder.

3. PDF comparison to detect fraud

Program checks simularity of pdf files to detect fraud. Program provides the user with an interface in which s/he can enter data for the directory where the PDF files are located and the location of the converted text files. These text files are compared and the results are writen to a csv file. To start the program: python Pdf_check_run.py

5. Author

Copyright (c) 2023 J.f. Hellings

Metadata

Release files for Pdf-check-fraud 0.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for Pdf-check-fraud 0.0.1
File Size Uploaded Provenance Actions
Pdf-check-fraud-0.0.1.tar.gz 16.0 kB Without provenance Details for Pdf-check-fraud-0.0.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for Pdf-check-fraud 0.0.1
File Interpreter ABI Platform Actions
Pdf_check_fraud-0.0.1-py3-none-any.whl Python 3 none any Details for Pdf_check_fraud-0.0.1-py3-none-any.whl

Total release size: 32.9 kB

Release files / Pdf-check-fraud-0.0.1.tar.gz

Download URL Pdf-check-fraud-0.0.1.tar.gz
Size 16.0 kB
Tags Source
SHA-256 checksum
How to use checksums
efc924bb1330002bcc3d3d4b0819b16b587b6ea9dc6b68273baaccc75e974821
BLAKE2b-256 checksum
How to use checksums
bd767f7cfcbd14b8ff51c9e1a5071bfae5dd901171d717757ab28688bf0f4925
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.1

Release files / Pdf_check_fraud-0.0.1-py3-none-any.whl

Download URL Pdf_check_fraud-0.0.1-py3-none-any.whl
Size 16.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
e3a90ccedbdae0a9b949120b96098059011affcd985ca9c8e87113f3d2e2ab8b
BLAKE2b-256 checksum
How to use checksums
51d69d4a01d4b83db950e311a2e6a3bbd3fba58bacb69c5040cac806db8ad088
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.1

Security for Pdf-check-fraud 0.0.1

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This release

0.0.1 This release

2 release files No provenance

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