本文關(guān)鍵詞： 人臉識別 嵌入式系統(tǒng) Hi3515 預(yù)處理 人臉檢測 特征提取　出處：《太原理工大學(xué)》2013年碩士論文　論文類型：學(xué)位論文

【摘要】：在計(jì)算機(jī)技術(shù)的快速發(fā)展過程中,生物工程技術(shù)也得到了迅猛發(fā)展。人們對身份驗(yàn)證實(shí)現(xiàn)自動化的要求逐漸提高。通過人體生物特征來進(jìn)行身份識別已經(jīng)成為安防系統(tǒng)的首選。相比其他生物特征,人臉特征具有非接觸性、穩(wěn)定性好、難仿冒等優(yōu)點(diǎn),易于為用戶所接受。所以人臉識別技術(shù)具有廣闊的市場應(yīng)用前景。 本課題通過把人臉識別技術(shù)與嵌入式技術(shù)相結(jié)合,針對人臉識系統(tǒng)上的具體實(shí)現(xiàn)問題,分別從硬件系統(tǒng)設(shè)計(jì),嵌入式人臉識別軟件設(shè)計(jì)以及人臉識別過程三方面對人臉識別技術(shù)在以Hi3515高性能音視頻處理器為核心的嵌入式系統(tǒng)上的實(shí)現(xiàn)作了深入研究。硬件部分介紹了基于Hi3515處理器的人臉識別系統(tǒng)的硬件環(huán)境,主要分為重力傳感模塊、人臉采集模塊、Hi3515中心處理模塊、門禁控制模塊等。嵌入式人臉識別軟件設(shè)計(jì)實(shí)現(xiàn)部分主要包括三大部分：重力傳感部分、人臉識別部分、門控部分。在計(jì)算機(jī)視覺領(lǐng)域里,一套完整的人臉識別系統(tǒng)全過程有人像獲取、預(yù)處理、人臉檢測、提取特征以及識別或確認(rèn)等。 針對人臉識別技術(shù)在嵌入式門禁系統(tǒng)中的研究,為了驗(yàn)證嵌入式人臉識別門禁系統(tǒng)的可靠和實(shí)時功能,提出了基于Hi3515音視頻微處理器的嵌入式人臉識別門禁系統(tǒng)。該系統(tǒng)是基于Hi3515提供高性能的音頻/視頻服務(wù),并采用ORL人臉庫,基于以Gabor變換與TV+L’模型的圖像預(yù)處理,以膚色空間(YCrCb色彩空間)的人臉檢測,以主成分分析(PCA)法的特征提取的人臉識別算法在嵌入式門禁系統(tǒng)中得到了實(shí)現(xiàn),從而根據(jù)人臉識別技術(shù)控制整個門禁系統(tǒng)。相應(yīng)的實(shí)驗(yàn)結(jié)果表明,該算法在嵌入式平臺上得到了優(yōu)化,嵌入式系統(tǒng)的高可靠性和實(shí)時性問題得以解決。
[Abstract]:In the rapid development of computer technology. Bioengineering technology has also been developed rapidly. The requirement of automatic authentication has been raised gradually. Identification through human biometrics has become the first choice of security and defense system. Compared with other biometric features. . Face features have the advantages of non-contact, good stability, difficult to copy, and are easily accepted by users. So face recognition technology has a broad market application prospects. By combining face recognition technology with embedded technology, this paper designs the hardware system for the specific realization of face recognition system. The design of embedded face recognition software and the process of face recognition are studied in detail. The realization of face recognition technology in embedded system with Hi3515 high performance audio and video processor as the core. Hardware part. This paper introduces the hardware environment of face recognition system based on Hi3515 processor. It is mainly divided into gravity sensing module, face acquisition module Hi3515 center processing module, access control module and so on. The embedded face recognition software design and implementation part mainly includes three parts: gravity sensing part. In the field of computer vision, a complete face recognition system is used to obtain, preprocess, detect, extract features and recognize or confirm human face. Aiming at the research of face recognition technology in the embedded access control system, in order to verify the reliability and real-time function of the embedded face recognition system. This paper presents an embedded access control system for face recognition based on Hi3515 audio and video microprocessor, which provides high performance audio / video service based on Hi3515 and uses ORL face database. Face detection based on Gabor transform and TV L' model image preprocessing and color space YCrCb color space. The face recognition algorithm based on PCA-based principal component analysis (PCA) method is implemented in the embedded access control system, and the whole access control system is controlled according to the face recognition technology. The algorithm is optimized on embedded platform, and the high reliability and real-time problem of embedded system can be solved.
【學(xué)位授予單位】：太原理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：TP391.41;TP368.1

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