<--- Back to Details
First PageDocument Content
Artificial intelligence applications / Computational linguistics / Automatic identification and data capture / Optical character recognition / Symbols / Unicode / Recognition / Document processing / Test set / Microsoft Office shared tools / Signature / Text segmentation
Date: 2011-03-23 14:22:54
Artificial intelligence applications
Computational linguistics
Automatic identification and data capture
Optical character recognition
Symbols
Unicode
Recognition
Document processing
Test set
Microsoft Office shared tools
Signature
Text segmentation

Shape Codebook based Handwritten and Machine Printed Text Zone Extraction Jayant Kumarb Rohit Prasada

Add to Reading List

Source URL: lampsrv02.umiacs.umd.edu

Download Document from Source Website

File Size: 922,27 KB

Share Document on Facebook

Similar Documents

Multi-source annotation projection of coreference chains: assessing strategies and testing opportunities Yulia Grishina and Manfred Stede Applied Computational Linguistics FSP Cognitive Science University of Potsdam

DocID: 1vrep - View Document

Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL), Philadelphia, July 2002, pp.

DocID: 1vn1Q - View Document

NODALIDA 2009 th 17 Nordic Conference of Computational Linguistics Kristiina Jokinen

DocID: 1vkzQ - View Document

Concepts and properties in word spaces* Marco Baroni & Alessandro Lenci Properties play a central role in most theories of conceptual knowledge. Since computational models derived from word co-occurrence statistics have

DocID: 1vcjQ - View Document

The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics Steven Bird1 , Robert Dale2 , Bonnie J. Dorr3 , Bryan Gibson4 , Mark T. Joseph4 , Min-Yen Kan5† , Dongwon

DocID: 1v63z - View Document