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机译:一种新的比较研究,使用多分辨率变换和卷积神经网络(CNN)无接触式手掌打印验证和识别
Department of Electrical and Electronics Engineering Gazi University Ankara Turkey;
Ministry of Health of Republic of Turkey Ankara Turkey;
Department of Electrical and Electronics Engineering Gazi University Ankara Turkey;
Department of Electrical and Electronics Engineering Gazi University Ankara Turkey;
Contactless palm print verification and identification; Discrete cosine transform; Discrete wavelet transform; Contourlet transform; Ripplet-I transform; Principal component analysis; Local binary pattern; Artificial neural network; Euclidean distance; Support vector machine; Convolutional neural network;
机译:使用卷积神经网络转移学习进行掌纹验证的深层感兴趣区域和特征提取模型
机译:基于快速傅立叶变换的Hopfield神经网络用于指纹验证的研究
机译:决策树,随机森林和卷积神经网络的比较研究
机译:基于卷积神经网络的非接触掌纹识别
机译:使用卷积神经网络(CNN)垃圾和可回收材料识别
机译:卷积神经网络(CNNS)在3D印刷部件识别缺陷中的应用
机译:利用卷积神经网络转移学习的深层兴趣区域和特征提取模型,用于掌声验证