基于雙Gabor方向韋伯局部描述子的掌紋識別

王華彬; 李夢雯; 周健; 陶亮

doi:10.11999/JEIT170657

基于雙Gabor方向韋伯局部描述子的掌紋識別

doi: 10.11999/JEIT170657 cstr: 32379.14.JEIT170657

基金項目:

國家自然科學(xué)基金(61372137)

計量
- 文章訪問數(shù): 1329
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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2017-07-05
- 修回日期: 2017-12-25
- 刊出日期: 2018-04-19

Double Gabor Orientation Weber Local Descriptor for Palmprint Recognition

Funds:

The National Natural Science Foundation of China (61372137)

摘要

摘要: 該文結(jié)合掌紋圖像的紋理特點，對原始韋伯局部描述子(WLD)中的差分激勵和梯度方向進(jìn)行改進(jìn)，提出雙Gabor方向韋伯局部描述子(DGWLD)，以提高掌紋識別率。在構(gòu)建新的差分激勵圖時，通過加入鄰域像素點與中心像素點間灰度差分的方向信息，擴大異類掌紋間的差異。同時，采用雙Gabor方向代替原始的梯度方向，減小平移和旋轉(zhuǎn)對識別的影響。此外，為了更好地衡量特征間的相似度，使用交叉匹配算法，進(jìn)一步提升識別率。在PolyU, MSpalmprint和CASIA掌紋庫上進(jìn)行實驗，識別率均達(dá)到100%。實驗的結(jié)果表明，與其它局部描述子和已有改進(jìn)的WLD方法相比，該文方法具有更高的識別率和更低的等錯誤率。
- 掌紋識別 /
- 韋伯局部描述子 /
- 差分激勵 /
- 雙Gabor方向 /
- 交叉匹配算法
Abstract: In order to improve the palmprint recognition rate, this paper improves differential excitation and gradient orientation of Weber Local Descriptor (WLD) based on the texture features of palmprint images, and proposes a Double Gabor orientation Weber Local Descriptor (DGWLD). The directional information of the difference between the neighborhood pixels and the central pixel is considered to enlarge the difference between palmprint, when constructing the new differential excitation map. At the same time, gradient orientation is replaced by double Gabor orientation to reduce the influence of translation and rotation. In addition, a feature cross matching algorithm is used for further improve the recognition rate. Experiments on PolyU, MSpalmprint and CASIA palmprint databases show that the recognition rate is up to 100%. The experimental results show that the proposed method is superior in terms of identification rate and equal error rate compared with other local descriptor methods and improved WLD methods.
- Palmprint recognition /
- Weber Local Descriptor (WLD) /
- Differential excitation /
- Double Gabor orientation /
- Cross matching algorithm

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參考文獻(xiàn)(19)

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