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ICDAR
2007
IEEE
14 years 2 months ago
An Efficient Word Segmentation Technique for Historical and Degraded Machine-Printed Documents
Word segmentation is a crucial step for segmentation-free document analysis systems and is used for creating an index based on word matching. In this paper, we propose a novel met...
Michael Makridis, N. Nikolaou, Basilios Gatos
ICDAR
2003
IEEE
14 years 1 months ago
Word Segmentation of Handwritten Dates in Historical Documents by Combining Semantic A-Priori-Knowledge with Local Features
The recognition of script in historical documents requires suitable techniques in order to identify single words. Segmentation of lines and words is a challenging task because lin...
Markus Feldbach, Klaus D. Tönnies
CIKM
2007
Springer
14 years 2 months ago
Regularized locality preserving indexing via spectral regression
We consider the problem of document indexing and representation. Recently, Locality Preserving Indexing (LPI) was proposed for learning a compact document subspace. Different from...
Deng Cai, Xiaofei He, Wei Vivian Zhang, Jiawei Han
KDD
2009
ACM
611views Data Mining» more  KDD 2009»
14 years 8 months ago
Fast approximate spectral clustering
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
Donghui Yan, Ling Huang, Michael I. Jordan
ICDAR
2009
IEEE
14 years 3 months ago
Segmentation of Arabic Handwriting Based on both Contour and Skeleton Segmentation
We propose a new algorithm for segmentation of off-line handwritten Arabic words. The algorithm segments the connected letters to smaller segments each of which contains no more t...
Safwan Wshah, Zhixin Shi, Venu Govindaraju