DoCA: A Content-Based Automatic Classification System Over Digital Documents
Regardless of industry, the overload of information facing most organizations today is a drain on both individuals and the enterprise itself. The increasing volume of this information, which is stored in different electronic formats, requires new sophisticated systems to analyse and classify them. I...
Main Authors: | Suleyman Eken, Houssem Menhour, Kubra Koksal |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8768370/ |
Similar Items
-
Fast Binarization of Unevenly Illuminated Document Images Based on Background Estimation for Optical Character Recognition Purposes
by: Hubert Michalak, et al.
Published: (2019-06-01) -
Aligning document layouts extracted with different OCR engines with clustering approach
by: S. Tomovic, et al.
Published: (2021-09-01) -
Extraction hybride et description structurelle de caractères pour une reconnaissance efficace de texte dans les documents hétérogènes scannés : Méthodes et Algorithmes parallèles
by: Soua, Mahmoud
Published: (2016) -
Document Image Processing
by: Laurence Likforman-Sulem, et al.
Published: (2018-06-01) -
Comparison of Sakhr and Google Optical Characters for Persian Language
by: Mehrnaz Khorasanchi, et al.
Published: (2021-07-01)