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首页> 外文期刊>Multimedia Tools and Applications >A novel local texture feature extraction method called multi-direction local binary pattern
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A novel local texture feature extraction method called multi-direction local binary pattern

机译：一种新颖的局部纹理特征提取方法，称为多方向局部二值模式

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摘要

A novel method named MD-LBP (Multi-Direction Local Binary Pattern) is proposed in this paper to capture the excellent local texture features. Based on LBP (Local Binary Pattern), the proposed method is a local feature extraction method, which optimized the coding scheme by considering the relationship between the center pixel and the weighted pixels in its neighborhood. Furthermore, unlike the original gray scale histogram method, the proposed method used a new way to get the feature vector which not only describes the holistic spatial information of image, but also reduces the image dimension. The proposed method is evaluated by extensive experiments on benchmark databases, such as CMU PIE and Extended Yale B face database, PolyU and CASIA Palmprint database. The experimental results show that the proposed method MD-LBP, can significantly capture the useful local texture features, and improve the recognition rates both in face and palmprint fields.
机译：本文提出了一种新颖的MD-LBP（多方向局部二值模式）方法，以捕获出色的局部纹理特征。该方法基于LBP（Local Binary Pattern），是一种局部特征提取方法，通过考虑中心像素与其附近加权像素之间的关系来优化编码方案。此外，与原始灰度直方图方法不同，该方法使用一种新的方法来获取特征向量，该特征向量不仅描述了图像的整体空间信息，而且减小了图像尺寸。通过在基准数据库（例如CMU PIE和Extended Yale B face数据库，PolyU和CASIA Palmprint数据库）上进行的广泛实验对所提出的方法进行了评估。实验结果表明，提出的方法MD-LBP可以有效地捕获有用的局部纹理特征，并提高面部和掌纹领域的识别率。

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