作者: FLIP 時(shí)間: 2025-3-22 00:11 作者: nugatory 時(shí)間: 2025-3-22 02:52 作者: 敵手 時(shí)間: 2025-3-22 07:55
Reference work 2017Latest editionherefore significant for finger-vein recognition improvement. In this paper, we propose a novel feature encoding method based on local graph structure (LGS), which behaves better in improving the matching accuracy of features. In terms of the variations of veins in running direction, oriented Gabor 作者: FEAT 時(shí)間: 2025-3-22 11:57
Teresa L. McCarty,Serafín M. Coronel-Molinay to achieve high recognition accuracy. To extract pores accurately and robustly, we propose a novel coarse-to-fine detection method based on convolutional neural networks (CNN) and logical operation. More specifically, pore candidates are coarsely estimated using logical operation at first; then, c作者: 刪除 時(shí)間: 2025-3-22 15:22 作者: 包租車船 時(shí)間: 2025-3-22 18:12 作者: Hemiplegia 時(shí)間: 2025-3-22 21:12
Anna Solin,Hanna-Mari Pienim?kised. However, most of the existing image acquisition systems are based on commercial equipment which has high cost, big equipment volume, over-high precision and long 3D data generation time. What’s more, those systems are not designed specialized for palmprint. Most of their parameters are not suit作者: Aspirin 時(shí)間: 2025-3-23 05:03 作者: 陶醉 時(shí)間: 2025-3-23 06:55 作者: Vasoconstrictor 時(shí)間: 2025-3-23 11:28 作者: 騷動(dòng) 時(shí)間: 2025-3-23 16:46 作者: Osteoarthritis 時(shí)間: 2025-3-23 21:51
Minority Language Policy in Chinad system applies gait recognition over existing video camera networks, converting them into powerful surveillance systems. It provides an efficient way of searching through the accumulated videos, saving human reviewers from tedious and inefficient work. The system also enables various scenarios fro作者: 后退 時(shí)間: 2025-3-24 01:48
https://doi.org/10.1007/1-4020-8039-5t recognition methods. In this paper, we proposed a new gait recognition method based on plantar pressure data with a Long Short-Term Memory (LSTM) network. By normalization and dimensionality reduction, the raw pressure data was converted to feature tensor. Then we feed the LSTM network with the fe作者: 有偏見 時(shí)間: 2025-3-24 02:30 作者: Hangar 時(shí)間: 2025-3-24 08:27 作者: 輕浮女 時(shí)間: 2025-3-24 12:06 作者: 惹人反感 時(shí)間: 2025-3-24 16:21
Biometric Recognition978-3-319-97909-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: GLOSS 時(shí)間: 2025-3-24 22:12 作者: BET 時(shí)間: 2025-3-25 02:22
https://doi.org/10.1007/978-3-319-97909-0Biometrics; Speech recognition; Activity recognition; Activity understanding; Online handwriting recogni作者: 輕彈 時(shí)間: 2025-3-25 05:44
978-3-319-97908-3Springer Nature Switzerland AG 2018作者: certitude 時(shí)間: 2025-3-25 08:52 作者: 序曲 時(shí)間: 2025-3-25 13:19 作者: 發(fā)源 時(shí)間: 2025-3-25 16:53 作者: 詢問 時(shí)間: 2025-3-25 21:54 作者: 讓步 時(shí)間: 2025-3-26 00:55 作者: eulogize 時(shí)間: 2025-3-26 04:29 作者: pacific 時(shí)間: 2025-3-26 09:21
0302-9743 s such as?Biometrics, Speech recognition, Activity recognition and understanding, Online handwriting recognition, System forensics, Multi-factor authentication, Graphical and visual passwords..978-3-319-97908-3978-3-319-97909-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: colloquial 時(shí)間: 2025-3-26 12:50
Teresa L. McCarty,Serafín M. Coronel-Molinaoarse pore candidates are further judged through well-trained CNN models; precise pore locations are finally refined by logical and morphological operation. The experimental results evaluated on the public dataset show that the proposed method outperforms other state-of-the-art methods in comparison.作者: medieval 時(shí)間: 2025-3-26 18:08
Anna Solin,Hanna-Mari Pienim?kiused by the small size of the sensors. The proposed algorithm are tested on the FVC2002 database and compared with four well-known matching algorithms. The results show the proposed method has excellent comprehensive performance and ability to apply to light architecture that other algorithms cannot match.作者: 樹木心 時(shí)間: 2025-3-26 21:21
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.作者: 輕率的你 時(shí)間: 2025-3-27 03:46
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.作者: 游行 時(shí)間: 2025-3-27 09:15
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.作者: 拖網(wǎng) 時(shí)間: 2025-3-27 12:43
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.作者: glans-penis 時(shí)間: 2025-3-27 17:09 作者: backdrop 時(shí)間: 2025-3-27 21:49
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.作者: adulterant 時(shí)間: 2025-3-27 23:26 作者: EXULT 時(shí)間: 2025-3-28 02:11 作者: Ascendancy 時(shí)間: 2025-3-28 08:13
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.作者: Detain 時(shí)間: 2025-3-28 13:05 作者: 金盤是高原 時(shí)間: 2025-3-28 16:59 作者: savage 時(shí)間: 2025-3-28 20:05 作者: Evolve 時(shí)間: 2025-3-29 00:36
https://doi.org/10.1007/978-1-4020-8891-9uracy of the recognition of the dorsal hand vein is improved. The algorithm is tested on the real dorsal hand vein database, and the recognition accuracy is more than 99%, which proves the effectiveness of the algorithm.作者: Hyperplasia 時(shí)間: 2025-3-29 04:13 作者: Paraplegia 時(shí)間: 2025-3-29 08:08 作者: Heterodoxy 時(shí)間: 2025-3-29 12:52 作者: doxazosin 時(shí)間: 2025-3-29 17:21 作者: interlude 時(shí)間: 2025-3-29 21:38
https://doi.org/10.1007/1-4020-8039-5we adopt integral operation for both pose and landmark coordinate regression, and exploit expectation instead of maximum value to estimate head pose and locate facial landmarks. Results of extensive experiments demonstrate that our approach achieves state-of-the-art performance on the challenging AFLW dataset.作者: Accede 時(shí)間: 2025-3-30 02:12
The Use and Development of Tibetan in Chinappearance and motion information. We compared the proposed model with several state-of-the-art methods on two datasets. The results are promising and the proposed method can achieve real-time performance of 30 fps.作者: transdermal 時(shí)間: 2025-3-30 04:07 作者: adj憂郁的 時(shí)間: 2025-3-30 11:32
Palmprint Recognition Using Siamese Networkrecognition outcome with an Equal Error Rate (EER) of 0.2819%. To test the robustness of the proposed algorithm, we collected a palmprint dataset called XJTU from the practical daily environment. On XJTU, the EER of our method is 4.559%, which highlighted a promising potential of the usage of palmprint in personal identification system.作者: 壓倒 時(shí)間: 2025-3-30 12:39
Optimal Parameter Selection for 3D Palmprint Acquisition Systemoped a new scheme to tune the initial system parameters to balance the tradeoff of device cost, volume, and data generation time. The samples collected by our proposed device have proved its effectiveness and advantages. The system is easy to implement and will promote the application of 3D palmprint.作者: 武器 時(shí)間: 2025-3-30 18:18
Residual Gating Fusion Network for Human Action Recognitionalysis tasks. We evaluate our RGFN on two standard benchmarks, i.e., UCF101 and HMDB51, and analyze the designs of convolution network. Experiments results demonstrate the advantages of RGFN, achieving the state-of-the-art performance.作者: Maximizer 時(shí)間: 2025-3-30 23:37 作者: 法律 時(shí)間: 2025-3-31 01:12
Cross-Cascading Regression for Simultaneous Head Pose Estimation and Facial Landmark Detectionwe adopt integral operation for both pose and landmark coordinate regression, and exploit expectation instead of maximum value to estimate head pose and locate facial landmarks. Results of extensive experiments demonstrate that our approach achieves state-of-the-art performance on the challenging AFLW dataset.作者: 臆斷 時(shí)間: 2025-3-31 07:03
Real Time Violence Detection Based on Deep Spatio-Temporal Featuresppearance and motion information. We compared the proposed model with several state-of-the-art methods on two datasets. The results are promising and the proposed method can achieve real-time performance of 30 fps.作者: 印第安人 時(shí)間: 2025-3-31 09:36
0302-9743 2018.?.?The 79 regular papers presented in this book were carefully reviewed and selected from 112 submissions. Thepapers?cover a wide range of topics such as?Biometrics, Speech recognition, Activity recognition and understanding, Online handwriting recognition, System forensics, Multi-factor authe作者: 易于出錯(cuò) 時(shí)間: 2025-3-31 17:03 作者: cathartic 時(shí)間: 2025-3-31 20:25
A New Hand Shape Recognition Algorithm Based on Delaunay Triangulationatures. Thus, we propose to form a more robust and non-parametric finger central axis extraction algorithm, by using a Delaunay triangulation algorithm. We show that our robust algorithm achieves the recognition rate of 99.89% on our database, while the mean time of feature extraction is 0.09?s.作者: 凝視 時(shí)間: 2025-3-31 23:19
