IRJET- Cloth and Pattern Recognition for Visually Impaired People

International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 05 Issue: 06 | May 2019

p-ISSN: 2395-0072

www.irjet.net

Cloth And Pattern Recognition For Visually Impaired People

Omkar Gandhi

Sanskar Dendage

Mrs.Bhuvaneshwari Jolad

Department of Electronics and Telecommunication

Department of Electronics and Telecommunication

Department of Electronics and Telecommunication

DIT Pimpri

DIT Pimpri

DIT Pimpri

Abstract— Visually impaired people face many challenges in their day today life such a picking up clothes of their interest, our system will help them to assist in this task and works in an effort to encourage their individuality without any human interaction. Matching clothes is a challenging task for many impaired people; The use of an efficient computer based system to match clothes with multiple colors and complex patterns helps visually impaired people and blind people to distinguish between pattern and their color information. There are three main components in our methodology for detecting clothes Color and their Pattern detection, we develop the computer based system that detect the cloth pattern and their color, in that the pattern and color is recognize on the based of RGB color scheme. To evaluate effectiveness of the given system we used different image comprising technique to analysis the cloth pattern and their color.

this task with the help of their family members by wearing clothes with a uniform color or without any patterns..

Thus, object colors determined from camera image may not always correspond perfectly to those reported by a human observer. Secondly, shadows and wrinkles may be confused as part of the texture patterns or imagery of the clothing and thus cause errors. Lastly, many clothes have designs with complex patterns and multiple colors, so it is difficult for identifications. Our system overcomes these issues, to give blind people greater independence to carry out certain tasks that they are unable to perform unaided.

1.2 Problem Overview To provide an efficient algorithm that is both effective and economical in performing the cloth pattern detection task without compromising on lighting, wrinkles or orientation parameters. For visually handicapped people support is important in their daily life and participation in a society.

Assistive systems of different kinds are being developed for the visually impaired people to improve the life quality and safety of these people including navigation and way finding, display reading, banknote recognition, rehabilitation, and many more.XiaodongYang developed a system for blind people to select clothes based on cloth pattern and colors in a cloth shop independently.

Keywords—Assitive system, cloth and pattern detection, image processing, impaired people, MATLAB, IOT based.

1.INTRODUCTION

1.1 Background Based on statistics from the World Health Organization(WHO), there are more than 161 million visually impairedpeople around the world, and 37 million of them are blind.According to the World Health Organization (WHO), lowvision is defined as visual acuity of 20/200 or less in the better eye with best correction possible (WHO. 2004). At the same time, approximately 10% of the male population in Europe suffers from some form of vision deficiency(blindness), the most usual case being an inability to distinguish between certains colors Color plays an important role in the everyones life so its important to weare our faviroute color when we want .

Normally sighted people use as the basis of a number of everyday tasks, for example matching socks,matching shoes, choosing between different clothes. Choosing clothes with suitable colors and patterns is a challenging task for blind or visually impaired people. They manage

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1.3 Objectives To design a product that is used chech the cloth color and their patter for impired people 

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Clothing pattern recognition is a camera-based paradigm system that acknowledges covering patterns in four classes (plain, striped, pattern less, and irregular) and identifies eleven covering colors currently.

Choosing clothes with suitable colors and patterns is a challenging task for blind or visually impaired people. They manage this task with the help of their family members.

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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 05 Issue: 06 | May 2019

p-ISSN: 2395-0072

www.irjet.net

2. METHODOLOGY 2.1 Block Diagram

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The system cloth and pattern recognition for visually impaired people is developing with the help of RGB color detection and different pattern signals to helps blind people without any human supervision.

Fig 1: Block Diagram of cloth and pattern recognition system

variables in images. Users are sharing vast amounts of data through apps, social networks, and websites. Additionally, mobile phones equipped with cameras are leading to the creation of limitless digital images and videos. The large volume of digital data is being used by companies to deliver better and smarter services to the people accessing It. Image recognition is a part of computer vision and a process to identify and detect an object or attribute in a digital video or image. Computer vision is a broader term which includes methods of gathering, processing and analyzing data from the real world. The data is highdimensional and produces numerical or symbolic

2.1.1 Camera The Camera is used to capture the image of different cloths and its different pattern and then the capture image is going to store in the database of the system. We have given the internet webcam also to capture the live image and its pattern for collection of various cloth resources.

2.1.2 Image and Pattern Recognition Software:-

Image recognition refers to technologies that identify places, logos, people, objects, buildings, and several other

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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 05 Issue: 06 | May 2019

p-ISSN: 2395-0072

www.irjet.net

information in the form of decisions. Apart from image recognition, computer vision also includes event detection, object recognition, learning, image reconstruction and video tracking.

2.1.3 GSM Module:SIM900D is a complete Quad-band GSM/GPRS solution in a SMT module which can be embedded in the customer applications.

The SIM900D delivers GSM/GPRS 850/900/1800/1900MHZ. It has an embedded powerful TCP/IP protocol stack. With a tiny configuration of 33mm x 33mm x 3mm, it can fit almost all the space requirements in your M2M application.

2.1.4 IOT Module :It have Remote administration from any location. It support Digital zoom. The ability to easily send images and video anywhere with an Internet connection.

Progressive scanning, which enables better quality images extracted from the video, especially for moving targets. Adjustable frame rates and resolution to meet specific needs. It support Two-way communication. It have the ability to send alerts if suspicious activity is detected. Lower cabling requirements. It Support for intelligent video.

3. SOFTWARE IMPLEMENTATION: In this system we are doing multiple operations for the visually impaired people. The operations are cloth color detection, cloth pattern detection with the help of IOT system. Among all these Fig 2: Color detection flow chart

operations, we are implementing color recognition. Fig 2 shows the flowchart of the operation performed. In Color recognition, after capturing the image from camera, image is divided into RGB pattern and then with the help of RGB values the color of the cloth is displayed and announced it on speaker. With the help of IOT system we send result on system. Fig 3. Shows the flowchart entire system.

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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 05 Issue: 06 | May 2019

p-ISSN: 2395-0072

www.irjet.net 4. CONCLUSION

Day by day the lifestyle for visually impaired people or blind people is very difficult to live and we know that, there exist numerous patterned clothes nowadays. Choosing clothes with different patterns are challenging issues for visually impaired people. In our paper we propose a system that helps impaired people choose clothes easily. We made an effort to produce a system that is more efficient and more economical than the existing systems without compromising on several fundamental parameters for visually impaired people.

5. REFERENCES [1] I.Kour, R Parajasegaram and G.pokharel, “Global data on visual impaired in the year 2002” Bulletin World heath Org 2004.

[2] Xiaodong Yang, Shuai Yuan and Ying Li Tian “assistive clothing Pattern Recognition for Visually Impaired people,” IEEE transaction on human machine system vol.44, NO2,APRIL 2014.

[3] S. Lam, “Texture feature extraction using gray level

gradient based on co-occurrence matrices,” in Proc. Int. Conf. Syst., Man Cybern., 1996, pp. 267–271. .

[4] Xiaodong Yang, YingLi Tian (2013) “Texture representations using subspace embeddings”, Elsevier, pattern recognition, 11301137.

Fig 3: Over view of System working

[5] K. Khouzani and H. Zaden, “Radon transform orientation estimation for rotation invariant texture analysis,” IEEE Trans.

Pattern Anal. Mach. Intell., vol. 27, no. 6, pp. 1004–1008, Jun. 2005.

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