中圖分類號(hào)：TN402 文獻(xiàn)標(biāo)志碼：A DOI: 10.16157/j.issn.0258-7998.245086 中文引用格式： 蔡靖,，谷承睿,，劉光達(dá)，等. 基于改進(jìn)AlexNet卷積神經(jīng)網(wǎng)絡(luò)人臉識(shí)別的研究[J]. 電子技術(shù)應(yīng)用,，2024,，50(11)：42-46. 英文引用格式： Cai Jing，Gu Chengrui,，Liu Guangda,，et al. Research on face recognition based on improved AlexNet convolutional neural network[J]. Application of Electronic Technique，2024,，50(11)：42-46.
Research on face recognition based on improved AlexNet convolutional neural network
Cai Jing,，Gu Chengrui,，Liu Guangda，Sun Huihui
College of Instrumentation & Electrical Engineering,， Jilin University
Abstract： In recent years, face recognition has been a hot topic in society. Compared to contact-based recognition methods such as fingerprint recognition, face recognition offers the advantage of being contactless. In the field of deep learning, traditional convolutional neural networks do not achieve high enough accuracy or speed for face recognition. Therefore, this paper proposes a face recognition algorithm using the AlexNet convolutional neural network. Experimental results show that AlexNet provides higher accuracy and more stability in face recognition compared to traditional convolutional neural networks.
Key words : deep learning,；convolutional neural network；face recognition,；AlexNet
