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Writer based Handwritten Document Image Retrieval

IJCA Proceedings on National conference on Digital Image and Signal Processing
© 2015 by IJCA Journal
DISP 2015 - Number 2
Year of Publication: 2015
Vijayalaxmi. M. B
B. V. Dhandra

Vijayalaxmi.m.b and B.v.dhandra. Article: Writer based Handwritten Document Image Retrieval. IJCA Proceedings on National conference on Digital Image and Signal Processing DISP 2015(2):30-34, April 2015. Full text available. BibTeX

	author = {Vijayalaxmi.m.b and B.v.dhandra},
	title = {Article: Writer based Handwritten Document Image Retrieval},
	journal = {IJCA Proceedings on National conference on Digital Image and Signal Processing},
	year = {2015},
	volume = {DISP 2015},
	number = {2},
	pages = {30-34},
	month = {April},
	note = {Full text available}


In this paper a method is proposed for retrieval of handwritten document images based on the writer's handwriting using texture features of input handwritten document image block. Typically it can be observed that the patterns of any handwritten text blocks encompass spatial texture primitives. The conventional two-dimensional (2-D) discrete wavelet transforms (DWTs) and Correlation of GLCM is used to extract spatial features. Handwritten documents are collected from 100 writers each in English, Kannada and Hindi scripts. These handwritten documents are segmented into image blocks and 2000 image blocks of each script writers are used separately for validation of the proposed method. The similarity measures viz. , Euclidean and City block distances are used and achieved Top-1 retrieval rates as 100% for each of the Kannada, English and Hindi writers' document image blocks.


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