S Eskenazi, P Gomez-Krämer, JM Ogier - Pattern recognition, 2017 - Elsevier
In document image analysis, segmentation is the task that identifies the regions of a document. The increasing number of applications of document analysis requires a good …
We survey the optical character recognition (OCR) literature with reference to the Urdu-like cursive scripts. In particular, the Urdu, Pushto, and Sindhi languages are discussed, with the …
Variations in inter-line gaps and skewed or curled text-lines are some of the challenging issues in segmentation of handwritten text-lines. Moreover, overlapping and touching text …
In this paper we present a language independent global method for automatic text line extraction. The proposed approach computes an energy map of a text image and …
This paper presents a method for text line segmentation of challenging historical manuscript images. These manuscript images contain narrow interline spaces with touching …
We propose a novel algorithm for automatic text line extraction on color and gray scale manuscript pages without prior binarization. Our algorithm is based on seam carving to …
J Ryu, HI Koo, NI Cho - IEEE Signal processing letters, 2014 - ieeexplore.ieee.org
Text-line extraction in handwritten documents is an important step for document image understanding, and a number of algorithms have been proposed to address this problem …
R Saabni, J El-Sana - 2011 International Conference on …, 2011 - ieeexplore.ieee.org
In this paper, we present a novel language-independent algorithm for extracting text-lines from handwritten document images. Our algorithm is based on the seam carving approach …
J Banks - Proceedings of the 25th conference on Winter …, 1993 - dl.acm.org
Software for simulation Page 1 Proceedings of the 1993 Winter Simulation Conference GW Evans, M. Mollaghasemi, EC Russell, WE Biles (eds.) SOFTWARE FOR SIMULATION Jerry …