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Electronic Voting

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Submitted By chathu03j
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Project – an Automated Make-up color selection system.
Supervisor – Dr. H.L.Premarathne

Field(s) of concern – Artificial Neural Networks, Fuzzy Logic, Image Processing, Data Classification, make-up

Background: Women typically like to be in the centre of attraction of other the people. In order to be elegant looking and to get the attention of others, ladies often use make-up. Make-up is a favorite topic of women, and is a primary concern, not only when attending functions such as weddings, parties, but in day-to-day life when going for work too. The success of make-up relies on how well one can select the colors that matches her skin color, eye color, shape of the face and other relevant features. Make-up is also an art; hence one should have a good artistic eye to select the make-up which suits her. Inappropriate applying of make-up will cause a person to be in the centre of sarcasm and annoyance, instead of being in the centre of attraction. This is why; ladies often take the service of a beautician. A beautician is a professional who’s trained and who has expertise knowledge on beauty therapy and make-up. With experience, a beautician can match the make-up colors to suit a person, according to her appearance and personality. However, one does not need the help of a beautician, if that person can choose the appropriate make-up colors for herself.

Introduction: Selection of colors for a make-up is vital for a Beautician as well as for any lady who rely on make-up to appear beautiful. This research based project explores the possibility of automating the process of make-up selection (color selection) according to the facial features of a given person (woman). In particular, the research is intended to look at a Neural Network and Fuzzy Logic based approach to the problem, because with careful selection of data, a Neural Network can be trained or Fuzzy Logic can be constructed to propose a suitable output for a given input, with a fair rate of accuracy. Hence, an ANN or a Fuzzy Logic based system will be able to choose the possible make-up colors that suit a particular person, when her image is fed in to the system.

Project Scope: Phase 1: Research on a suitable method for classification of make-up colors, methods of feature extraction (color extraction) from a photograph and facial recognition, how Neural Networking/Fuzzy Logic can be applied to find a solution to the problem and determine the best suited neural network/fuzzy logic approach (e.g. Fuzzy Logic, Supervised Training, un-supervised Training etc) to address the problem. Conduct a literature review on the above areas. Phase 2: Learn the basics of make-up and feature evaluation with the help of a beautician. Collect a set of sample data for training and testing (this can be obtained from the beautician; the sample test data may include images of a number of different faces and the suitable make-up colors – decided by the beautician to match those faces)

Phase 3: Propose a suitable method to extract the color/complexion from a given image of a face, implement the method and test the accuracy. The image captured through a camera may need enhancements to preserve the original skin color. Design and implement the neural network/fuzzy logic based solution to choose make-up colors.

Phase 4: Test the system with a set of suitable test data set. Test data can be prepared with the help of a beautician. Also get the beautician to review the system and get feedback on the level of accuracy.

Objectives: a) Functional Objectives: Develop a fairly accurate Neural Network/Fuzzy Logic based system to automate the role of a beautician in deciding make-up colors for a person (precisely a lady) by examining facial features such as skin color, eye color, lip shape etc. This system is intended to help beauticians, as well as any ordinary person in selecting appropriate make-up colors that suits a particular person.
b) Learning Objectives: • Gain experience and practice on the conduct of a formal research • Learn how to write a literally accurate and technically sound research paper • Learn how to defend the ideas, work and the findings in a review/evaluation • Gain a sound knowledge on the subject areas addressed by the research project

Pre- requisites: • Knowledge on basic Image processing concepts and principles • Clear understanding of the Neural computing/Fuzzy Logic concepts, techniques and applications

• Data Classification techniques

• Ability to use a proper tool to implement a Neural Network (e.g. MatLab)

Question to be addressed: • How to consider multiple features in selecting make-up colors? • How to extract the original skin color from a facial image taken by a camera? • Design the Neural Network/Fuzzy Logic to output more than one possible color that suits a person • How to use several input parameters (e.g. Skin color, eye color, lip shape) to decide make-up colors?

Related Work: Research paper [3] discusses about a mechanism to efficiently extract a human face from a given image using image segmentation and facial region extraction methods. Further, research had been conducted to propose a skin color extraction method, which uses the YIQ color system with a background estimation method for skin color extraction [1]. Experimented mechanisms have been introduced to extract feature points such as lip corners, eyelids, position of the eyeballs which can be used to identify the necessary facial features [2].

Reference:
[1]. Journal Artificial Life and Robotics, Volume 12, Numbers 1-2 / March 2008, Color system for skin color extraction. Pages (210-213).
[2]. Hua Gu Guangda Su Cheng Du, Feature Points Extraction from Faces. Research Institute of Image and Graphics, Department of Electronic Engineering, Tsinghua University, Beijing, China
[3]. Jong-Bae Kim, Chae-Hyun Moon, and Hang-Joon Kim. 2002. Efficient Face Extraction Using Skin-Color Model and a Neural Network. Dept. of Computer Engineering, Kyungpook National University.

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