scispace - formally typeset
Journal ArticleDOI

Adaptive degraded document image binarization

Basilis Gatos, +2 more
- 01 Mar 2006 - 
- Vol. 39, Iss: 3, pp 317-327
Reads0
Chats0
TLDR
The proposed method does not require any parameter tuning by the user and can deal with degradations which occur due to shadows, non-uniform illumination, low contrast, large signal-dependent noise, smear and strain.
About
This article is published in Pattern Recognition.The article was published on 2006-03-01. It has received 585 citations till now. The article focuses on the topics: Thresholding & Wiener filter.

read more

Citations
More filters
Journal ArticleDOI

Dynamic ROI extraction method for hand vein images

TL;DR: A new dynamic hand vein ROI extraction, preserving the whole vein area and contributing to an accurate definition of hand edge delimitations is proposed, validated on both dorsal vein Bosphorus database and palm vein Vera database.
Journal ArticleDOI

Adaptive Thresholding Technique for Binarization of License Plate Images

TL;DR: Experimental results show that the proposed method outperformed five well-known methods for thresholding license plate images.
Journal ArticleDOI

A Comparative study of Arabic handwritten characters invariant feature

TL;DR: In this article, the behavior of some well-known mathematic transforms to decide in a next step on which of them can be used especially in a future Arabic OCR system based on the cooperation of several approaches and techniques.
Proceedings ArticleDOI

Text extraction from degraded document images

TL;DR: A robust segmentation method for text extraction from the historical document images is presented that employs significantly the local and spatial correlation and coherence on both the image and between the stroke parts, and therefore is very robust with respect to the degradation.
Journal ArticleDOI

History Document Image Background Noise and Removal Methods

TL;DR: A hybrid binarization approach for improving the quality of old documents is proposed using a combination of global and local thresholding and noises that might appear in scanned document images are reviewed.
References
More filters
Book

Fundamentals of digital image processing

TL;DR: This chapter discusses two Dimensional Systems and Mathematical Preliminaries and their applications in Image Analysis and Computer Vision, as well as image reconstruction from Projections and image enhancement.
Journal ArticleDOI

Survey over image thresholding techniques and quantitative performance evaluation

TL;DR: 40 selected thresholding methods from various categories are compared in the context of nondestructive testing applications as well as for document images, and the thresholding algorithms that perform uniformly better over nonde- structive testing and document image applications are identified.