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Logic Mind Technologies
Vijayangar (Near Maruthi Medicals), Bangalore-40
Ph: 8123668124 // 8123668066
Title: Assistive Clothing Pattern Recognition for
Visually Impaired People
Abstract—Choosing clothes with complex patterns and colors is a challenging task
for visually impaired people. Automatic clothing pattern recognition is also a
challenging research problem due to rotation, scaling, illumination, and especially
large intraclass pattern variations. We have developed a camera-based prototype
system that recognizes clothing patterns in four categories (plaid, striped,
patternless, and irregular) and identifies 11 clothing colors. The system integrates a
camera, a microphone, a computer, and a Bluetooth earpiece for audio description
of clothing patterns and colors. A camera mounted upon a pair of sunglasses is
used to capture clothing images. The clothing patterns and colors are described to
blind users verbally. This system can be controlled by speech input through
microphone. To recognize clothing patterns, we propose a novelRadon Signature
descriptor and a schema to extract statistical properties from wavelet subbands to
capture global features of clothing patterns. They are combined with local features
to recognize complex clothing patterns. To evaluate the effectiveness of the
proposed approach, we used the CCNY Clothing Pattern dataset. Our approach
achieves 92.55% recognition accuracy which significantly outperforms the state-
of-the-art texture analysis methods on clothing pattern recognition. The prototype
was also used by ten visually impaired participants. Most thought such a system
would support more independence in their daily life but they also made
suggestions for improvements.
Software & Hardware requirement:
1. Hardware requirement:
1. PC
2. RAM minimum 2GB
3. HDD minimum 100GB
2. Software requirement:
1. MATLAB 7.0
2. Signal processing toolbox
3. Image processing toolbox
4. Mathematical toolbox
PROJECT FLOW:
First Review:
Literature Survey
Paper Explanation
Design of Project
Project Enhancement explanation
Second Review:
Implementing 40% of Base Paper
Third Review
Implementing Remaining 60% of Base Paper with Future Enhancement
(Modification)
For More Details please contact
Logic Mind Technologies
Vijayangar (Near Maruthi Medicals), Bangalore-40
Ph: 8123668124 // 8123668066
Mail: logicmindtech@gmail.com

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Assistive Clothing Pattern Recognition for Visually Impaired

  • 1. Logic Mind Technologies Vijayangar (Near Maruthi Medicals), Bangalore-40 Ph: 8123668124 // 8123668066 Title: Assistive Clothing Pattern Recognition for Visually Impaired People Abstract—Choosing clothes with complex patterns and colors is a challenging task for visually impaired people. Automatic clothing pattern recognition is also a challenging research problem due to rotation, scaling, illumination, and especially large intraclass pattern variations. We have developed a camera-based prototype system that recognizes clothing patterns in four categories (plaid, striped, patternless, and irregular) and identifies 11 clothing colors. The system integrates a camera, a microphone, a computer, and a Bluetooth earpiece for audio description of clothing patterns and colors. A camera mounted upon a pair of sunglasses is used to capture clothing images. The clothing patterns and colors are described to blind users verbally. This system can be controlled by speech input through microphone. To recognize clothing patterns, we propose a novelRadon Signature descriptor and a schema to extract statistical properties from wavelet subbands to capture global features of clothing patterns. They are combined with local features to recognize complex clothing patterns. To evaluate the effectiveness of the proposed approach, we used the CCNY Clothing Pattern dataset. Our approach achieves 92.55% recognition accuracy which significantly outperforms the state- of-the-art texture analysis methods on clothing pattern recognition. The prototype was also used by ten visually impaired participants. Most thought such a system would support more independence in their daily life but they also made suggestions for improvements.
  • 2. Software & Hardware requirement: 1. Hardware requirement: 1. PC 2. RAM minimum 2GB 3. HDD minimum 100GB 2. Software requirement: 1. MATLAB 7.0 2. Signal processing toolbox 3. Image processing toolbox 4. Mathematical toolbox PROJECT FLOW: First Review: Literature Survey Paper Explanation Design of Project Project Enhancement explanation Second Review: Implementing 40% of Base Paper Third Review Implementing Remaining 60% of Base Paper with Future Enhancement (Modification) For More Details please contact Logic Mind Technologies Vijayangar (Near Maruthi Medicals), Bangalore-40 Ph: 8123668124 // 8123668066 Mail: logicmindtech@gmail.com