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» Adaptive Binarization of Historical Document Images
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ICDAR
2009
IEEE
13 years 3 months ago
A Unified Framework Based on the Level Set Approach for Segmentation of Unconstrained Double-Sided Document Images Suffering fro
A novel method for the segmentation of double-sided ancient document images suffering from bleed-through effect is presented. It takes advantage of the level set framework to prov...
Reza Farrahi Moghaddam, David Rivest-Hénaul...
ICPR
2004
IEEE
14 years 6 months ago
Serialized Unsupervised Classifier for Adaptative Color Image Segmentation: Application to Digitized Ancient Manuscripts
This paper presents an adaptative algorithm for the segmentation of color images suited for document image analysis. The algorithm is based on a serialization of the k-means algor...
Frank Le Bourgeois, Hubert Emptoz, Yann Leydier
DIAL
2006
IEEE
130views Image Analysis» more  DIAL 2006»
13 years 11 months ago
Improving the Quality of Degraded Document Images
It is common for libraries to provide public access to historical and ancient document image collections. It is common for such document images to require specialized processing i...
Ergina Kavallieratou, Efstathios Stamatatos
ICPR
2004
IEEE
14 years 6 months ago
The Multistage Approach to Information Extraction in Degraded Document Images
Global and local adaptive thresholding techniques have been shown effective on particular types of documents. None produces consistently good results on all types of documents. In...
Graham Leedham, Yan Chen
ICDAR
1999
IEEE
13 years 10 months ago
Telop and Flip Frame Detection and Character Extraction from TV News Articles
The purpose of this study is to automatically extract telop and flip characters. It starts from the extraction of stable frame sections including the telop and flip characters. Ne...
Yasuo Ariki, Katsumi Matsuura, Seiichi Takao