A Mobile based application for face shape recognition and hairstyle suggestion
Date
2020
Authors
Odero, Jeremy Ong'ech
Journal Title
Journal ISSN
Volume Title
Publisher
Strathmore University
Abstract
A good hairstyle improves anyone's self-confidence and self-worth, especially women. However, to choose a good hairstyle, a person may be limited to rely on the knowledge of a beauty expert. Face recognition is an important embodiment of human-computer interaction, which has been widely used in system access and identity verification. The system proposes to recognize and recommend hairstyles based on facial structures recognized and face shape. Once a hairstyle is selected the time comes to go and have it done but converting the idea of the hairstyle to reality often comes with more of a hustle than is required. There are long queues and stylists sometimes double booking. Stylists also falsely advertise their capabilities leading to dissatisfied customers. The project is a hairstyle recommendation system for women based on hairstyle experts' knowledge and optimizing a face shape classification scheme that other authors devised in previous studies and furthermore aims to overcome the shortcomings of customer dissatisfaction. It is a system that facilitates making appointments with hairdressers. The system was developed on android studio platform, CNN and SVM for extracting and recognition of facial structures. Python and Java for the development languages. Firebase serves as the database.
Description
An Information system project 2 Proposal submitted to the School Of Computing and Engineering Science In Partial Fulfillment Of The requirements for the award of the Bachelor’s Degree in Business Information Technology of Strathmore University
Keywords
Mobile - based application, Face shape recognition, Hairstyle suggestion