Titlebook: Biometric Recognition; 13th Chinese Confere Jie Zhou,Yunhong Wang,Zhenhua Guo Conference proceedings 2018 Springer Nature Switzerland AG 20

樹木心

Anna Solin,Hanna-Mari Pienim?kiection method. Finally, the feature is encoded by Fisher vector and input to the linear SVM classifier to complete the action recognition. In the public dataset MSR Action3D and the dataset collected in this paper, the experiments show that the proposed method achieves a good recognition effect.

輕率的你

Minority Language Policy in Chinam different cameras to be processed in parallel so different equipment at different locations can be coordinated to work together thus greatly improve the efficiency for searching and tracing subject persons. The system is adopted by policing department and has showed outstanding robustness and effectiveness.

游行

https://doi.org/10.1007/1-4020-8039-5ature tensors and implement classification recognition. We collected data from 93 subjects of different age groups, and each subjects was collected 10 sets of pressure data. The experiment results turn out that our LSTM network can get high classification accuracy and performs better than CNN model and many traditional methods.

拖網(wǎng)

Language Education and Globalization PolyU FKP database show that compared with traditional feature extraction method, the proposed method can not only extract more discriminative features, but also improve the accuracy of FKP recognition.

glans-penis

backdrop

https://doi.org/10.1007/978-3-030-63904-4 eigenvectors are classified by RBF network. Experiments have been conducted in the CASIA-B database to prove the validity of the proposed method. Experiment results shows that our method performs better than the state-of-the-art multi-view methods.

adulterant

EXULT

Ascendancy

Finger Vein Recognition Based on Weighted Graph Structural Feature Encoding method is developed for vein network feature representation. Experimental results show that the proposed approach achieves better performance than the state-of-the-art approaches on finger-vein recognition.

Detain