【摘要】：人臉是人類很重要的外貌特征�；谌四樀淖R別功能,包括性別、種族、年齡、身份信息等等逐漸成為近幾年研究的重點�；谌四樀男詣e識別就是賦予電腦人眼所獨有的判定性別的能力,使得電腦能夠根據(jù)輸入的人臉圖像,進行判別并輸出性別分類結(jié)果。性別識別在模式識別、人工智能、計算機視覺、信息安全等方面都有著廣泛的發(fā)展前景和應(yīng)用價值。本文總結(jié)了性別識別所需要的常見人臉數(shù)據(jù)庫、圖像預(yù)處理的方法和作用,常用的性別特征提取方法和表示方法,以及性別識別算法。這些算法在識別率、計算時間、可擴展性、以及數(shù)據(jù)存儲量方面各有優(yōu)勢和弊端。然后,在Microsoft Visual Studio 2010平臺上,基于OpenCV,用C++語言實現(xiàn)了人臉性別識別系統(tǒng)的設(shè)計與編程。準備工作包括建立人臉數(shù)據(jù)庫、圖像預(yù)處理、人臉檢測與定位。后期完成了特征向量提取、人臉性別識別等功能。系統(tǒng)中人臉檢測采用基于Haar-like特征的Haar分類器,人臉性別識別功能采用Fisherface算法實現(xiàn)。本文實現(xiàn)的性別識別系統(tǒng)完成了以上功能的實現(xiàn),滿足了一般的基于人臉圖像的性別識別的分類需求。
[Abstract]:Human face is an important feature of human appearance. Facial recognition, including gender, race, age, identity information and so on, has gradually become the focus of research in recent years. The gender recognition based on human face is to give the computer the unique ability to judge the gender, so that the computer can distinguish and output the result of sex classification according to the input face image. Gender recognition has a broad prospect and application value in pattern recognition, artificial intelligence, computer vision, information security and so on. This paper summarizes the common face database for gender recognition, the methods and functions of image preprocessing, the commonly used methods of gender feature extraction and representation, and the algorithm of gender recognition. These algorithms have advantages and disadvantages in recognition rate, computing time, scalability and data storage. Then, on the platform of Microsoft Visual Studio 2010, the design and programming of face gender recognition system based on OpenCV, and C language are realized. The preparation includes the establishment of face database, image preprocessing, face detection and location. The feature vector extraction and face sex recognition are completed in the later stage. In the system, Haar classifier based on Haar-like feature is used for face detection, and Fisherface algorithm is used to realize the function of face sex recognition. The gender recognition system implemented in this paper has completed the above functions, which meets the general needs of gender recognition based on face image classification.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：TP391.41

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相關(guān)期刊論文 前7條

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本文編號：2286890