Character recognition in degraded document images using morphological and phase-only filtering

Nowadays, new optical character recognition (OCR) algorithms for mobile devices are actively developed. Most of these algorithms work well with documents digitized under perfect conditions. When using mobile devices, document images are subject to various distortions, such as nonuniform and poor ill...

Full description

Saved in:
Bibliographic Details
Published in:Journal of communications technology & electronics 2015-12, Vol.60 (12), p.1360-1365
Main Authors: Diaz-Escobar, J., Kober, V. I., Karnaukhov, V. N.
Format: Article
Language:English
Subjects:
Algorithms
Banks (Finance)
Character recognition
Communications Engineering
Communications technology
Computer simulation
Decomposition
Degradation
Digitization
Distortion
Document management
Engineering
Image processing systems
Mathematical Models and Computational Methods
Mobile communication systems
Mobile devices
Morphology
Networks
Neural networks
Optical character recognition
Studies
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Nowadays, new optical character recognition (OCR) algorithms for mobile devices are actively developed. Most of these algorithms work well with documents digitized under perfect conditions. When using mobile devices, document images are subject to various distortions, such as nonuniform and poor illumination, geometric distortions, low resolution, and sensor noise. In this paper, we propose a reliable method for recognition of contextually unrelated characters in degraded document images with the use of a bank of adaptive morphological and phase-only filters. With the help of computer simulation, the results of operation of traditional and proposed approaches to detection and classification of characters of the Latin alphabet in distorted document images are compared.
ISSN:1064-2269
1555-6557
DOI:10.1134/S1064226915120050