Description: 关于融合语音与手形识别的多模态生物识别文献-On the integration of voice and hand recognition of multi-modal biometric literature Platform: |
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Author:竺乐庆 |
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Description: 这是一篇很不错的基于多模态生物特征的身份识别的论文，希望能够帮助大家。-This is a very good multi-modal-based biometric identification papers, I hope you can get help. Platform: |
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Author:youzuo |
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Description: Gait recognition is a new field of biometrics. The deployment of gait is more realistic as a part of a multi modal biometric system (e.g. combination of gait and face together) Platform: |
Size: 19757056 |
Author:zyul |
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Description: When extracting discriminative features multimodal
data, current methods rarely concern the data distribution.
In this paper, we present an assumption that is consistent with
the viewpoint of discrimination, that is, a person’s overall
biometric data should be regarded as one class in the input space,
and his different biometric data can form different Gaussians
distributions, i.e., different subclasses. Hence, we propose a novel
multi-modal feature extraction and recognition approach based
on subclass discriminant analysis (SDA). Specifically, one
person’s different bio-data are treated as different subclasses of
one class, and a transformed space is calculated, where the
difference among subclasses belonging to different persons is
maximized, and the difference within each subclass is minimized.
Then, the obtained multi-modal features are used for
classification. Two solutions are presented to overcome the
singularity problem encountered in calculation, which are using
PCA preprocessing,-When extracting discriminative features multimodal
data, current methods rarely concern the data distribution.
In this paper, we present an assumption that is consistent with
the viewpoint of discrimination, that is, a person’s overall
biometric data should be regarded as one class in the input space,
and his different biometric data can form different Gaussians
distributions, i.e., different subclasses. Hence, we propose a novel
multi-modal feature extraction and recognition approach based
on subclass discriminant analysis (SDA). Specifically, one
person’s different bio-data are treated as different subclasses of
one class, and a transformed space is calculated, where the
difference among subclasses belonging to different persons is
maximized, and the difference within each subclass is minimized.
Then, the obtained multi-modal features are used for
classification. Two solutions are presented to overcome the
singularity problem encountered in calculation, which are using
PCA preprocessing, Platform: |
Size: 588800 |
Author:avinash trivedi |
Hits:
Search - Multi-Modal Biometric