CLOTHING PATTERN RECOGNITION FOR VISUALLY IMPAIRED PEOPLE (20150401)
Authors :
TEJAS WALVEKAR
, PRATIBHA REDDY
Abstracts : It is very difficult for visually impaired people to
choose clothes with different patterns and colors.
Pattern Recognition method can be implemented to
carry out automatic cloth pattern recognition with
machine learning approach. For researchers,
automatic clothing pattern recognition as a
challenging research problem due to the factors of
large intra class pattern variations, scaling,
illumination and rotation. The system proposed here
considers a PC based system that can be used to
recognize the clothing patterns in four different
categories (stripped, plaid, irregular and pattern less)
and also identify color in terms of percentage of 15
basic colors. It is implemented using MATLAB tools for
image processes. A database of cloth images present in
wardrobe of a visually impaired person is prepared.
Features of the test image can be extracted using
special functioned descriptors. After identifying the
features, nearest neighbor method classifies the
images in order to their categories. By normalizing the
histogram of image in HIS color space, colors in the
image are identified. The pattern and color
identification result is given as audio output.
Pages : 68-72
Downloads : 88
Publication Date : 2017-07-25
Modified Date : 2018-01-17
Cite/Export
TEJAS WALVEKAR ,
PRATIBHA REDDY ,
"CLOTHING PATTERN RECOGNITION FOR VISUALLY IMPAIRED PEOPLE", JournalNX - A Multidisciplinary Peer Reviewed Journal, Volume 3, Issue 7, ISSN : 2581-4230, Page No. 68-72