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» A Comparison of Clustering Methods for Word Image Indexing
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CBMS
2006
IEEE
14 years 1 months ago
Biomedical Ontology MeSH Improves Document Clustering Qualify on MEDLINE Articles: A Comparison Study
Document clustering has been used for better document retrieval, document browsing, and text mining. In this paper, we investigate if biomedical ontology MeSH improves the cluster...
Illhoi Yoo, Xiaohua Hu
ICIAP
1999
ACM
14 years 4 days ago
Background Removal in Image Indexing and Retrieval
This paper presents our research in image content based indexing and retrieval, a key technology in digital image libraries. In most of the existing image content-based techniques...
Yi Lu, Hong Guo
ICDAR
2011
IEEE
12 years 7 months ago
A New Fourier-Moments Based Video Word and Character Extraction Method for Recognition
— This paper presents a new method based on Fourier and moments features to extract words and characters from a video text line in any direction for recognition. Unlike existing ...
Deepak Rajendran, Palaiahnakote Shivakumara, Bolan...
ICDAR
2003
IEEE
14 years 1 months ago
Features for Word Spotting in Historical Manuscripts
For the transition from traditional to digital libraries, the large number of handwritten manuscripts that exist pose a great challenge. Easy access to such collections requires a...
Toni M. Rath, R. Manmatha
VLDB
1998
ACM
173views Database» more  VLDB 1998»
13 years 7 months ago
Fast Image Retrieval Using Color-Spatial Information
Abstract. In this paper, we present an image retrieval system that employs both the color and spatial information of images to facilitate the retrieval process. The basic unit used...
Beng Chin Ooi, Kian-Lee Tan, Tat-Seng Chua, Wynne ...