


default search action
International Journal of Biometrics, Volume 14
Volume 14, Number 1, 2022
- R. Vinodini, M. Karnan:

Face detection and recognition system based on hybrid statistical, machine learning and nature-based computing. 3-19 - Mohanad Abukmeil, Gian Luca Marcialis

:
Experimental results on palmvein-based personal recognition by multi-snapshot fusion of textural features. 20-45 - Ouarda Soltani, Souad Benabdelkader:

Euclidean distance versus Manhattan distance for skin detection using the SFA database. 46-60 - Soumen Roy

, Devadatta Sinha, Utpal Roy:
Identifying age group and gender based on activities on touchscreen. 61-82 - R. Anandha Jothi, Palanisamy Velliyan:

A robust and efficient fingerprint minutiae extraction in post-processing algorithm. 83-97 - Gyana Ranjan Patra, Saumendra Kumar Mohapatra, Mihir Narayan Mohanty:

Applications of deep learning algorithms in biomedical signal processing - pros and cons. 98-124
Volume 14, Number 2, 2022
- Jianzhong Yang, Huirong Chen, Xianyang Li:

Intelligent products' recommendation system based on machine learning algorithm combined with visual features extraction. 125-137 - P. Shanthi, S. Nickolas:

Facial landmark detection and geometric feature-based emotion recognition. 138-154 - Wei Deliang:

Research on the path of fitness strategic planning based on mobile internet. 155-165 - Gayatri Umakant Bokade, Rajendra D. Kanphade:

Template security scheme for multimodal biometrics using data fusion technique. 166-190 - Yumei Tao:

Design of electronic circuit fault diagnosis based on artificial intelligence. 191-198 - Xiaoyan Jin:

Design of bridge health monitoring system based on B/S mode and SOA architecture. 199-207 - Yingying Liu, Xixi Li, Shaofeng Rong, Shimin Guan, Baoguo Cai, Shuo Zhang:

Multidimensional distribution data association algorithm based on DNAzyme. 208-222
Volume 14, Numbers 3/4, 2022
- Yuzhe Zhang, Peilin Wu, Jinhui Zhao, Hao Feng, Rongtao Liao:

The model of fast face recognition against age interference in deep learning. 223-238 - Ling Liu:

Arm movement recognition of badminton players in the third hit based on visual search. 239-252 - Yongliang Feng:

Multi pose facial expression recognition based on convolutional neural network. 253-267 - Qiaojun Li, Peipei Wang:

Facial feature localisation and subtle expression recognition based on deep convolution neural network. 268-284 - Yuping Fang, Da Fang:

Research on adaptive conversion of AI language based on rough set. 285-302 - Wan Li:

Face feature tracking algorithm for long-distance runners based on multi-region fusion. 303-317 - Linzhu Li, Kun Wang:

Research on automatic recognition method of basketball shooting action based on background subtraction method. 318-335 - Xiang Cao, Pengfei Li:

Dynamic facial expression recognition of sprinters based on multi-scale detail enhancement. 336-351 - Yuansheng Liu:

Multi-information fingerprint identification method based on interactive genetic algorithm. 352-366 - Yang He:

Research on leg posture recognition of sprinters based on SVM classifier. 367-382 - Zheshu Jia, Deyun Chen:

Recognition method of unspecified face expressions based on machine learning. 383-393 - Shu Yang:

Face feature tracking algorithm of aerobics athletes based on Kalman filter and mean shift. 394-407 - Zhe Dong, Xiongying Wang:

Automatic recognition of javelin athletes' throwing angle based on recognisable statistical characteristics. 408-420 - A. Mallikarjuna Reddy, Sudheer K. Reddy, Santhosh C. N. Kumar, Srinivasa Reddy Konda

:
Leveraging bio-maximum inverse rank method for iris and palm recognition. 421-438 - V. Uma Maheswari, G. Varaprasad, S. Viswanadha Raju:

Local double directional stride maximum patterns for facial expression retrieval. 439-452 - Ahmad B. A. Hassanat, Abeer Albustanji, Ahmad S. Tarawneh, Malek Q. Alrashidi, Hani Alharbi, Mohammed Alanazi, Mansoor Alghamdi, Ibrahim S. Alkhazi, V. B. Surya Prasath:

DeepVeil: deep learning for identification of face, gender, expression recognition under veiled conditions. 453-480 - Lijie Zhou:

Recognition of depression patients with electroencephalogram. 481-491

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.


Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID













