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DAS
2010
Springer
13 years 9 months ago
Binarization of historical document images using the local maximum and minimum
This paper presents a new document image binarization technique that segments the text from badly degraded historical document images. The proposed technique makes use of the imag...
Bolan Su, Shijian Lu, Chew Lim Tan
ICDAR
2009
IEEE
13 years 11 months ago
A Modified Adaptive Logical Level Binarization Technique for Historical Document Images
In this paper, a new document image binarization technique is presented, as an improved version of the state-of-the-art adaptive logical level technique (ALLT). The original ALLT ...
Konstantinos Ntirogiannis, Basilios Gatos, Ioannis...
ICPR
2010
IEEE
13 years 8 months ago
Unsupervised Evaluation Methods Based on Local Gray-Intensity Variances for Binarization of Historical Documents
Abstract--We attempt to evaluate the efficacy of six unsupervised evaluation method to tune Sauvola's threshold in optical character recognition (OCR) applications. We propose...
Marte Alejandro Ramírez-Ortegón, Raul Rojas
ICDAR
2005
IEEE
13 years 10 months ago
Text Extraction from Gray Scale Historical Document Images Using Adaptive Local Connectivity Map
This paper presents an algorithm using adaptive local connectivity map for retrieving text lines from the complex handwritten documents such as handwritten historical manuscripts....
Zhixin Shi, Srirangaraj Setlur, Venu Govindaraju
ICDAR
2011
IEEE
12 years 4 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