Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/7297
標題: 應用特徵臉與類神經網路於人臉偵測
Face Detection Using Eigenface and Neural Network
作者: 鄭雯菁
wenching
關鍵字: Face recognition;人臉偵測;Face detection;Eigenface;Neural network;人臉辨識;特徵臉;類神經網路
出版社: 電機工程學系
摘要: 
人臉辨識是生物特徵辨識技術中熱門的研究,而人臉偵測與定位則是人臉辨識系統中重要的前置處理。人臉偵測的目的在於從包含複雜背景的影像中,找出並定位出人臉所在的位置。本論文提出一個結合特徵臉演算法與類神經網路的人臉偵測系統,並且利用人臉五官邊界點的幾何分佈做為系統最後的人臉驗證。在實驗中可以看出本系統的高人臉偵測率,以及較少的錯誤偵測區塊。

Face recognition is a popular topic of biometric research. Face detection and localization is the most important pre-processing module of a face recognition system. The purpose of face detection is to search and localize the position of faces in an image with varied background. In this thesis, we propose a novel face detection system which is combined the eigenface algorithm with the neural network. The candidate face region is confirmed as the face block image by analyzing the geometry distribution of the edge of facial features. In our experiments, the proposed face detection system has high face detection rate and less false detections.
URI: http://hdl.handle.net/11455/7297
Appears in Collections:電機工程學系所

Show full item record
 

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.