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ICDAR
2011
IEEE
12 years 9 months ago
Ternary Entropy-Based Binarization of Degraded Document Images Using Morphological Operators
—A vast number of historical and badly degraded document images can be found in libraries, public, and national archives. Due to the complex nature of different artifacts, such p...
T. Hoang Ngan Le, Tien D. Bui, Ching Y. Suen
ICDAR
2009
IEEE
13 years 7 months ago
Coupled Snakelet Model for Curled Textline Segmentation of Camera-Captured Document Images
Detection of curled textline is important for dewarping of hand-held camera-captured document images. Then baselines and the lines following the top of x-height of characters (x-l...
Syed Saqib Bukhari, Faisal Shafait, Thomas M. Breu...
ICDAR
2007
IEEE
14 years 4 months ago
XML Data Representation in Document Image Analysis
This paper presents the XML-based formats ALTO, TEI, METS used for Digital Libraries and their interest for data representation in a Document Image Analysis and Recognition (DIAR)...
Abdel Belaïd, Yves Rangoni, I. Falk
ICDAR
2003
IEEE
14 years 3 months ago
An Approach to Extracting the Target Text Line from a Document Image Captured by a Pen Scanner
In this paper, we present a new approach to extracting the target text line from a document image captured by a pen scanner. Given the binary image, a set of possible text lines a...
Zhen-Long Bai, Qiang Huo
ICPR
2000
IEEE
14 years 2 months ago
Image-Based Document Vectors for Text Retrieval
We propose a method for constructing a vector for a document image to represent its content to facilitate text retrieval. The method is based on an N-Gram algorithm for text simil...
Zhaohui Yu, Chew Lim Tan