This paper first presents a new method of palmprint identification by using Local Binary Pattern (LBP).
首次提出将局部二进制模式(LBP)应用到掌纹识别中。
In this paper, we present a novel method for infrared dim targets detection based on local binary pattern (LBP).
针对红外弱小目标图像的特点，本文提出了一种新的增强算法。
This paper proposes a method of face recognition, which is based on Multi-Threshold Local Binary Pattern (MTLBP).
提出一种基于多阈值局部二值模式(MTLBP)的人脸识别方法。
A method of face detection is proposed, which is based on the skin information and improved local binary pattern (LBP).
提出了一种基于肤色信息与改进的局部二值模式(LBP)算法的人脸检测方法。
This paper presents a method of multi-modal face recognition which combines Local Binary Pattern (LBP) with Fisherfaces.
提出了一种基于肤色信息与改进的局部二值模式(LBP)算法的人脸检测方法。
The existing local binary pattern (LBP) operators have several disadvantages such as rather long histograms, lower discrimination, and sensitivity to noise.
现有局部二元模式(LBP)算子存在不足：产生的直方图维数过长、鉴别力不高、对噪声反应敏感。
This algorithm constructed the texture image based on Local Binary Pattern (LBP), and then zero watermark information was constructed from the texture spectral histograms of the texture image.
该算法使用文档图像的局部二值模式(LBP)构造纹理谱图像，然后使用该纹理谱图像的直方图构造零水印信息。
This algorithm constructed the texture image based on Local Binary Pattern (LBP), and then zero watermark information was constructed from the texture spectral histograms of the texture image.
该算法使用文档图像的局部二值模式(LBP)构造纹理谱图像，然后使用该纹理谱图像的直方图构造零水印信息。
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