A search engine for handwritten documents

A search engine for handwritten documents (2005)

by Sargur Srihari , Chen Huang , Harish Srinivasan

Venue:	Proceedings of SPIE-IS&T Electronic Imaging, 2005
Citations:	10 - 1 self

Datum	Value	Source
TITLE	A search engine for handwritten documents	INFERENCE
AUTHOR NAME	Sargur Srihari	SVM HeaderParse 0.2
AUTHOR AFFIL	Center of Excellence for Document Analysis and Recognition(CEDAR); University at Buffalo, State University of New York, Buffalo	SVM HeaderParse 0.2
AUTHOR ADDR	USA	SVM HeaderParse 0.2
AUTHOR NAME	Chen Huang	SVM HeaderParse 0.2
AUTHOR AFFIL	Center of Excellence for Document Analysis and Recognition(CEDAR); University at Buffalo, State University of New York, Buffalo	SVM HeaderParse 0.2
AUTHOR ADDR	USA	SVM HeaderParse 0.2
AUTHOR NAME	Harish Srinivasan	SVM HeaderParse 0.2
AUTHOR AFFIL	Center of Excellence for Document Analysis and Recognition(CEDAR); University at Buffalo, State University of New York, Buffalo	SVM HeaderParse 0.2
AUTHOR ADDR	USA	SVM HeaderParse 0.2
ABSTRACT	The design and functionality of a versatile search engine on handwritten documents is described. Documents are indexed using global image features, e.g., stroke width, slant, word gaps, as well local features that describe shapes of characters and words. Image indexing is done automatically using page analysis, page segmentation, line separation, word segmentation and recognition of characters and words. Several types of searches are	SVM HeaderParse 0.2
YEAR	2005	INFERENCE
VENUE	Proceedings of SPIE-IS&T Electronic Imaging, 2005	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	66--75	INFERENCE
VOLUME	5676	INFERENCE
CITATIONS	12 found	ParsCit 1.0