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Reseach Article

Automated Writer Recognizer for offline Text using Scale Invariant Feature Transform Descriptor

Published on December 2014 by Priyanka Kathe
Innovations and Trends in Computer and Communication Engineering
Foundation of Computer Science USA
ITCCE - Number 2
December 2014
Authors: Priyanka Kathe
397bd5c7-4eb2-4c57-9aa9-7d66b8449ff7

Priyanka Kathe . Automated Writer Recognizer for offline Text using Scale Invariant Feature Transform Descriptor. Innovations and Trends in Computer and Communication Engineering. ITCCE, 2 (December 2014), 12-15.

@article{
author = { Priyanka Kathe },
title = { Automated Writer Recognizer for offline Text using Scale Invariant Feature Transform Descriptor },
journal = { Innovations and Trends in Computer and Communication Engineering },
issue_date = { December 2014 },
volume = { ITCCE },
number = { 2 },
month = { December },
year = { 2014 },
issn = 0975-8887,
pages = { 12-15 },
numpages = 4,
url = { /proceedings/itcce/number2/19047-2012/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Innovations and Trends in Computer and Communication Engineering
%A Priyanka Kathe
%T Automated Writer Recognizer for offline Text using Scale Invariant Feature Transform Descriptor
%J Innovations and Trends in Computer and Communication Engineering
%@ 0975-8887
%V ITCCE
%N 2
%P 12-15
%D 2014
%I International Journal of Computer Applications
Abstract

The Automated writer recognizer for offline text is to determine the writer of a text among a number of known writers using their handwriting images. Handwriting recognition (HWR) is a field where the writing styles of various writers with difficulties are encountered. The Handwriting recognition is derived from a neural network system for unconstrained handwritings. The proposed method offline text writer recognizer is based on scale invariant feature transform (SIFT) descriptor [7]. The writer recognizer which have methods involving a reduced number of parameters for creation of a robust writer recognition system Automated writer recognizer for offline text is very important for documents authorization and in forensic analysis. Writer identification is been a great areana for development in forensic analysis.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Sift Word Segmentation Sift Descriptor Signature Scale And Orientation.