International Research Journal of Engineering and Technology (IRJET) Volume: 04 Issue: 01 | Jan -2017
e-ISSN: 2395 -0056
www.irjet.net
p-ISSN: 2395-0072
FACE AND FACIAL EXPRESSIONS RECOGNITION FOR BLIND PEOPLE Bhupendra Vishwakarma1, Pooja Dange2, Abhijeet Chavan3, Akshay Chavan4, Prof. Hema Galiyal5 Student of B.E.COMPUTER, Padmabhushan Vasantdada Patil Pratishthan's College of Engineering, Sion, Mumbai400 022[1],[2],[3]&[4]. Professor, Padmabhushan Vasantdada Patil Pratishthan's College of Engineering, Sion, Mumbai-400 022[5]. -----------------------------------------------------***---------------------------------------------------------------------
Abstract - Human face detection and recognition play important roles in many applications such as video surveillance and
face image database management. In our project, we have worked on both face recognition and detection techniques. The user wears camera glasses, and system speaks the saved person's name when his face comes in view of the camera. In face recognition,various algorithm used are Viola Jones for face detection,PCA (principal component analysis) in which we recognize an unknown test image by comparing it with the known training images stored in the database as well as give information regarding the person recognized. These techniques works well under robust conditions like complex background, different face positions. This technique works well for Indian faces which have a specific complexion varying under certain range. We have taken real life examples and simulated the algorithms in MATLAB successfully. Key Words: Haar Features, Eigenfaces, PCA, Yale database, Ada Boost etc.
1.INTRODUCTION It is estimated that 285 million people globally are visually impaired with 39 million blind and 246 million with low vision [1]. Approximately 90% of these people live in developing countries and 82% of blind people are aged 50 and above. In Maryland alone, the site of this study, there are over 100,000 individuals who are legally blind or experience total blindness [2]. An individual is identified by his/her face. Face being the most important part, used for distinguishing a person from another. Each face has different features and have different characteristics of its own. So, face recognition plays a vital role in human behavior. In particular, facial expressions play a major role in the human to human communications and provides very strong cue in measuring levels of interest of a person while interacting with a machine. IF both these systems used for the blind can do a lot of help to the blind,so this is what we propose in this new idea and a beginning for the disabled ones. In this project, the blind will be himself able to identify people due to face recognition and will get a audio message about the person, “This is so and so person” and the blind can be himself able to speak to them without having to wait for person from opposite to come to him and speak to him, just he has to identify the person(provided the person details saved in system database) .The new faces can also be added to the database. In actual, the idea is to bring the vision level of blind a bit more closer to the normal ones. Even they would be able to recognize people and their expressions on their own with the help of face recognized from the video captured.
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