EYEGLASSES FRAME SELECTION BASED ON OVAL FACE SHAPE USING CONVOLUTIONAL NEURAL NETWORK

Young, Stephen and Natalia, Friska and Sudirman, Sud and Ko, Chang Seong (2019) EYEGLASSES FRAME SELECTION BASED ON OVAL FACE SHAPE USING CONVOLUTIONAL NEURAL NETWORK. ICIC Express Letters, 10 (8). pp. 707-715. ISSN 2185-2766

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Abstract

Deep Learning is one part of the Machine Learning which is now widely discussed by researchers. One use of Deep Learning is on the case of image classification. One method that can be used is Convolutional Neural Network. In this case, by using Convolutional Neural Network, it will identify a person’s face shape is oval or not. This method will be implemented into Android OS and using Python Language to help in processing the data that retrieve and observe from search engine Google. Viola-Jones Algorithm is useful to analyze the existence of the faces in the image processing. The output that will be accomplished is an application that can give user a choice of frames of glasses based on face shapes. Through this application user can try a variety of frames with practice rather than having to try it in physical form one by one.

Item Type:	Article
Subjects:	000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 000 Computer Science, Information and General Works 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods 600 Technology (Applied Sciences) > 610 Medicine and Health > 617 Surgery, Regional Medicine, Dentistry, Ophthalmology, Otology, Audiology
Divisions:	Faculty of Engineering & Informatics > Information System
Date Deposited:	24 Nov 2021 16:00
URI:	https://kc.umn.ac.id/id/eprint/19270

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