Real Time Face Recognition Systems

碩士 === 龍華科技大學 === 電機工程系碩士班 === 105 === In this thesis, it is to face recongnition systems used in the real time. Using webcam and Python to achieve. Python is an open source and cross-platform programming language, no matter which platform, can be painless transfer. Using Python to combine opencv ca...

Full description

Bibliographic Details
Main Authors: Hsiao, Yu-Dian, 蕭育典
Other Authors: Hsieh, Fei-Hu
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/enfc9v
Description
Summary:碩士 === 龍華科技大學 === 電機工程系碩士班 === 105 === In this thesis, it is to face recongnition systems used in the real time. Using webcam and Python to achieve. Python is an open source and cross-platform programming language, no matter which platform, can be painless transfer. Using Python to combine opencv can complete image processing, whether it is reading write and zoom in and out. It is very convenient to use Python to study machine-related methods. And the kits are open source software that will not be limited by copyright issues. According to the classification of supervised learning, the use of Python to write three main code, the machine learning is divided into three parts: prior data collection, training, practical application. Respectively, to complete the test, to be tested to get the conclusions of this study. The future hope to go to unsupervised learning to explore. And this study can be applied in the access control system or employee visitor system, you can have good results.