本文選題：人臉識(shí)別 + 幾何匹配��； 參考：《中南大學(xué)》2010年碩士論文

【摘要】： 本文研究基于幾何匹配和分合算法的生物特征識(shí)別技術(shù),及其在公安視頻監(jiān)控中人臉識(shí)別的應(yīng)用。本文首先對(duì)幾何模型匹配方法進(jìn)行了研究,提出了一套完整的人臉定位算法。在預(yù)處理部分,采用了特別的增強(qiáng)人臉特征與臉部皮膚之間對(duì)比度的方法及局域取閾值二值化方法,改進(jìn)了預(yù)處理的效果。在圖像分割部分,實(shí)現(xiàn)了經(jīng)典的分合算法,并且使用成組算法改進(jìn)了分合的效果。在人臉匹配部分,實(shí)現(xiàn)了基于眼睛和嘴的幾何模型匹配,并對(duì)評(píng)價(jià)函數(shù)的構(gòu)造進(jìn)行了研究。 在Microsoft Windows XP平臺(tái)上Microsoft Visual C++開(kāi)發(fā)環(huán)境下,采用上述算法編制了人臉定位的軟件。實(shí)驗(yàn)證明,該軟件對(duì)于尺寸足夠大的清晰的正面單個(gè)/多個(gè)人臉情形能夠正確檢測(cè)定位。 最后,本文探討了幾何匹配算法和分合算法的優(yōu)缺點(diǎn),及人臉識(shí)別在公安工作中的應(yīng)用,提出了進(jìn)一步工作的方向。
[Abstract]:This paper studies the biometric recognition technology based on geometric matching and partitioning algorithm, and its application in face recognition in police video surveillance. Firstly, the geometric model matching method is studied, and a complete face location algorithm is proposed. In the preprocessing part, a special method of enhancing the contrast between facial features and facial skin and a local threshold binarization method are used to improve the effect of pretreatment. In the part of image segmentation, the classical partitioning algorithm is implemented, and the effect of grouping algorithm is improved. In the part of face matching, the geometric model matching based on eyes and mouth is realized, and the construction of evaluation function is studied. In the Microsoft Visual C development environment of Microsoft Windows XP, the software of face location is programmed by the above algorithm. The experimental results show that the software can detect the location correctly for the large enough size of the single / multiple faces. Finally, this paper discusses the advantages and disadvantages of geometric matching algorithm and partitioning algorithm, and the application of face recognition in public security work, and puts forward the direction of further work.
【學(xué)位授予單位】：中南大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2010
【分類(lèi)號(hào)】：TP391.41

【引證文獻(xiàn)】

相關(guān)期刊論文 前1條

1 梁永霖;;基于OpenCV的人臉圖像預(yù)處理技術(shù)研究[J];韶關(guān)學(xué)院學(xué)報(bào);2012年08期

，

本文編號(hào)：1802616