Relevant bibliographies by topics / Liveness face detection

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Liveness face detection'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Liveness face detection.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Liveness face detection"

1

Achmad, Bimo Vallentino, and Supatman Supatman. "FACIAL PHOTO AUTHENTICITY DETECTION USING FACE RECOGNITION AND LIVENESS DETECTION." Jurnal Teknik Informatika (Jutif) 5, no. 5 (2024): 1423–32. https://doi.org/10.52436/1.jutif.2024.5.5.2328.

Full text
Abstract:
Facial recognition has been widely adopted by many systems as authentication. However, relying on facial photos for authentication is insufficient, as these can be manipulated using printed or digital photos. One method that can be used to prevent this is to integrate face recognition with liveness detection. In this research, face recognition and liveness detection are implemented using a Convolutional Neural Network (CNN) because CNN has the ability to process and extract features from photos effectively. There are two types of datasets used, namely CelebA-Spoof for liveness detection and lf
APA, Harvard, Vancouver, ISO, and other styles
2

Xin, Yang, Yi Liu, Zhi Liu, et al. "A survey of liveness detection methods for face biometric systems." Sensor Review 37, no. 3 (2017): 346–56. http://dx.doi.org/10.1108/sr-08-2015-0136.

Full text
Abstract:
Purpose Biometric systems are widely used for face recognition. They have rapidly developed in recent years. Compared with other approaches, such as fingerprint recognition, handwriting verification and retinal and iris scanning, face recognition is more straightforward, user friendly and extensively used. The aforementioned approaches, including face recognition, are vulnerable to malicious attacks by impostors; in such cases, face liveness detection comes in handy to ensure both accuracy and robustness. Liveness is an important feature that reflects physiological signs and differentiates art
APA, Harvard, Vancouver, ISO, and other styles
3

Enas, A. Raheem, Mumtazah Syed Ahmad Sharifah, and Azizun Wan Adnan Wan. "Insight on face liveness detection: A systematic literature review." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 6 (2019): 5165–75. https://doi.org/10.11591/ijece.v9i6.pp5165-5175.

Full text
Abstract:
To review researcher"s attempts in response to the problem of spoofing and liveness detection, mapping the research overview from the literature survey into a suitable taxonomy, exploring the basic properties of the field, motivation of using liveness detection methods in face recognition, and Problems that may restrain the advantages. We presented a subjected search on face recognition with liveness detection and its synonyms in four main databases: Web of science, Science Direct, Scopus and IEEE Xplore. We believe that these databases are widely inclusive enough to cover the literature. The
APA, Harvard, Vancouver, ISO, and other styles
4

Wu, Lifang, Yaowen Xu, Meng Jian, Xiao Xu, and Wei Qi. "Face liveness detection scheme with static and dynamic features." International Journal of Wavelets, Multiresolution and Information Processing 16, no. 02 (2018): 1840001. http://dx.doi.org/10.1142/s0219691318400015.

Full text
Abstract:
Face liveness detection is a significant research topic in face-based online authentication. The current face liveness detection approaches utilize either static or dynamic features, but not both. In fact, the dynamic and static features have different advantages in face liveness detection. In this paper, we propose a scheme combining dynamic and static features to capture merits of them for face liveness detection. First, the dynamic maps are captured from the inter-frame motion in the video, which investigates motion information of the face in the video. Then, with a Convolutional Neural Net
APA, Harvard, Vancouver, ISO, and other styles
5

Kim, Sooyeon, Yuseok Ban, and Sangyoun Lee. "Face Liveness Detection Using Defocus." Sensors 15, no. 1 (2015): 1537–63. http://dx.doi.org/10.3390/s150101537.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Raheem, Enas A., Sharifah Mumtazah Syed Ahmad, and Wan Azizun Wan Adnan. "Insight on face liveness detection: A systematic literature review." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 6 (2019): 5865. http://dx.doi.org/10.11591/ijece.v9i6.pp5865-5175.

Full text
Abstract:
<p>To review researcher’s attempts in response to the problem of spoofing and liveness detection, mapping the research overview from the literature survey into a suitable taxonomy, exploring the basic properties of the field, motivation of using liveness detection methods in face recognition, and Problems that may restrain the advantages. We presented a subjected search on face recognition with liveness detection and its synonyms in four main databases: Web of science, Science Direct, Scopus and IEEE Xplore. We believe that these databases are widely inclusive enough to cover the literat
APA, Harvard, Vancouver, ISO, and other styles
7

Shinde, Pratibha, and Ajay Raundale. "Secure Face and Liveness Detection with Criminal Identification for Security Systems." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 8s (2023): 497–506. http://dx.doi.org/10.17762/ijritcc.v11i8s.7231.

Full text
Abstract:
The advancement of computer vision, machine learning, and image processing techniques has opened new avenues for enhancing security systems. In this research work focuses on developing a robust and secure framework for face and liveness detection with criminal identification, specifically designed for security systems. Machine learning algorithms and image processing techniques are employed for accurate face detection and liveness verification. Advanced facial recognition methods are utilized for criminal identification. The framework incorporates ML technology to ensure data integrity and ide
APA, Harvard, Vancouver, ISO, and other styles
8

Khairnar, Smita, Shilpa Gite, Ketan Kotecha, and Sudeep D. Thepade. "Face Liveness Detection Using Artificial Intelligence Techniques: A Systematic Literature Review and Future Directions." Big Data and Cognitive Computing 7, no. 1 (2023): 37. http://dx.doi.org/10.3390/bdcc7010037.

Full text
Abstract:
Biometrics has been evolving as an exciting yet challenging area in the last decade. Though face recognition is one of the most promising biometrics techniques, it is vulnerable to spoofing threats. Many researchers focus on face liveness detection to protect biometric authentication systems from spoofing attacks with printed photos, video replays, etc. As a result, it is critical to investigate the current research concerning face liveness detection, to address whether recent advancements can give solutions to mitigate the rising challenges. This research performed a systematic review using t
APA, Harvard, Vancouver, ISO, and other styles
9

Singh, Avinash Kumar, Piyush Joshi, and G. C. Nandi. "Face liveness detection through face structure analysis." International Journal of Applied Pattern Recognition 1, no. 4 (2014): 338. http://dx.doi.org/10.1504/ijapr.2014.068327.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Hatture, Sanjeeva Kumar M., and Shweta Policepatil. "Masquerade Attack Analysis for Secured Face Biometric System." International Journal of Recent Technology and Engineering (IJRTE) 10, no. 2 (2021): 225–32. http://dx.doi.org/10.35940/ijrte.b6309.0710221.

Full text
Abstract:
Biometrics systems are mostly used to establish an automated way for validating or recognising a living or nonliving person's identity based on physiological and behavioural features. Now a day’s biometric system has become trend in personal identification for security purpose in various fields like online banking, e-payment, organizations, institutions and so on. Face biometric is the second largest biometric trait used for unique identification while fingerprint is being the first. But face recognition systems are susceptible to spoof attacks made by nonreal faces mainly known as masquerade
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Liveness face detection"

1

Omar, Luma Qassam Abedalqader. "Face liveness detection under processed image attacks." Thesis, Durham University, 2018. http://etheses.dur.ac.uk/12812/.

Full text
Abstract:
Face recognition is a mature and reliable technology for identifying people. Due to high-definition cameras and supporting devices, it is considered the fastest and the least intrusive biometric recognition modality. Nevertheless, effective spoofing attempts on face recognition systems were found to be possible. As a result, various anti-spoofing algorithms were developed to counteract these attacks. They are commonly referred in the literature a liveness detection tests. In this research we highlight the effectiveness of some simple, direct spoofing attacks, and test one of the current robust
APA, Harvard, Vancouver, ISO, and other styles
2

Lin, B. (Bofan). "Face liveness detection by rPPG features and contextual patch-based CNN." Master's thesis, University of Oulu, 2019. http://jultika.oulu.fi/Record/nbnfioulu-201906052450.

Full text
Abstract:
Abstract. Face anti-spoofing plays a vital role in security systems including face payment systems and face recognition systems. Previous studies showed that live faces and presentation attacks have significant differences in both remote photoplethysmography (rPPG) and texture information. We propose a generalized method exploiting both rPPG and texture features for face anti-spoofing task. First, we design multi-scale long-term statistical spectral (MS-LTSS) features with variant granularities for the representation of rPPG information. Second, a contextual patch-based convolutional neural ne
APA, Harvard, Vancouver, ISO, and other styles
3

Komulainen, J. (Jukka). "Software-based countermeasures to 2D facial spoofing attacks." Doctoral thesis, Oulun yliopisto, 2015. http://urn.fi/urn:isbn:9789526208732.

Full text
Abstract:
Abstract Because of its natural and non-intrusive interaction, identity verification and recognition using facial information is among the most active areas in computer vision research. Unfortunately, it has been shown that conventional 2D face recognition techniques are vulnerable to spoofing attacks, where a person tries to masquerade as another one by falsifying biometric data and thereby gaining an illegitimate advantage. This thesis explores different directions for software-based face anti-spoofing. The proposed approaches are divided into two categories: first, low-level feature descrip
APA, Harvard, Vancouver, ISO, and other styles
4

Lodrová, Dana. "Bezpečnost biometrických systémů." Doctoral thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-261226.

Full text
Abstract:
Hlavním přínosem této práce jsou dva nové přístupy pro zvýšení bezpečnosti biometrických systémů založených na rozpoznávání podle otisků prstů. První přístup je z oblasti testování živosti a znemožňuje použití různých typů falešných otisků prstů a jiných metod oklamání senzoru v průběhu procesu snímání otisků. Tento patentovaný přístup je založen na změně barvy a šířky papilárních linií vlivem přitlačení prstu na skleněný podklad. Výsledná jednotka pro testování živosti může být integrována do optických senzorů.  Druhý přístup je z oblasti standardizace a zvyšuje bezpečnost a interoperabilitu
APA, Harvard, Vancouver, ISO, and other styles
5

Wu, Tzu-Yuan, and 吳紫源. "A Deep-Learning-Based Face Liveness Detection System Against Spoofing Attack Using 2D Image Distortion Analysis." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/52dj7s.

Full text
Abstract:
碩士<br>國立臺灣科技大學<br>資訊工程系<br>107<br>With the development of science and technology, face recognition is now an important technology for authentication in various access control applications, especially used in mobile devices. Unlocking by face has gradually replaced fingerprint identification in some scenarios, which becomes one of the major biometric authentication technology of mobile phones. In a common camera, due to the lack of depth information, it is easy to make fake face images to crack the identification system (e.g., paper printing and screen display) compared with other biological fe
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Liveness face detection"

1

Chan, Patrick P. K., and Ying Shu. "Face Liveness Detection by Brightness Difference." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45652-1_16.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Mangal, Shivani, and Khushboo Agarwal. "Face-Anti-spoofing Based on Liveness Detection." In Intelligent Cyber Physical Systems and Internet of Things. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18497-0_19.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Tolendiyev, Gabit, Mohammed Abdulhakim Al-Absi, Hyotaek Lim, and Byung-Gook Lee. "Adaptive Margin Based Liveness Detection for Face Recognition." In Intelligent Human Computer Interaction. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68452-5_28.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Padnevych, Ruslan, David Carmo, David Semedo, and João Magalhães. "Temporal Convolutional Networks for Robust Face Liveness Detection." In Pattern Recognition and Image Analysis. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04881-4_21.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Koppikar, Unnati, C. Sujatha, Prakashgoud Patil, and P. S. Hiremath. "Face Liveness Detection to Overcome Spoofing Attacks in Face Recognition System." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6067-5_39.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Sun, Lin, WaiBin Huang, and MingHui Wu. "TIR/VIS Correlation for Liveness Detection in Face Recognition." In Computer Analysis of Images and Patterns. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23678-5_12.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Zawar, Ruchi, and Vrishali Chakkarwar. "Real-Time Face Liveness Detection and Face Anti-spoofing Using Deep Learning." In Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022). Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-196-8_47.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Raheem, Enas A., and Sharifah Mumtazah Syed Ahmad. "Statistical Analysis of Image Quality Measures for Face Liveness Detection." In 10th International Conference on Robotics, Vision, Signal Processing and Power Applications. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6447-1_69.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Lu, Xin, and Ying Tian. "Heterogeneous Kernel Based Convolutional Neural Network for Face Liveness Detection." In Communications in Computer and Information Science. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3415-7_32.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Hao, Huiling, Mingtao Pei, and Meng Zhao. "Face Liveness Detection Based on Client Identity Using Siamese Network." In Pattern Recognition and Computer Vision. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31654-9_15.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Liveness face detection"

1

K R, Suresh Kumar, Prashanth Kambli, and Prathima M. N. "Face Detection with Liveness Net." In 2024 International Conference on Computing, Semiconductor, Mechatronics, Intelligent Systems and Communications (COSMIC). IEEE, 2024. https://doi.org/10.1109/cosmic63293.2024.10871328.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Igene, Lambert, Afzal Hossain, Mohammad Zahir Uddin Chowdhury, et al. "Face Liveness Detection Competition (LivDet-Face) - 2024." In 2024 IEEE International Joint Conference on Biometrics (IJCB). IEEE, 2024. http://dx.doi.org/10.1109/ijcb62174.2024.10744462.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Rasulmuhamedov, Abduqayum, Kayathri Devi Devprasad, Gaurav Aggarwal, Naina Chaudhary, Shivani Gupta, and Sujit Prasad. "Active Face Liveness Detection Using Mediapipe." In 2024 4th International Conference on Technological Advancements in Computational Sciences (ICTACS). IEEE, 2024. https://doi.org/10.1109/ictacs62700.2024.10841222.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Li, Qin, Bizhong Huang, Guanrong Huang, et al. "Research of liveness detection for face recognition on mobile devices." In Fourth International Conference on Computer Vision and Pattern Analysis (ICCPA 2024), edited by Ji Zhao and Yonghui Yang. SPIE, 2024. http://dx.doi.org/10.1117/12.3038083.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Ikram, Zhanseri. "Hybrid Deep Neural Network for Face Liveness Detection in Real-Time Video." In 2024 IEEE 4th International Conference on Smart Information Systems and Technologies (SIST). IEEE, 2024. http://dx.doi.org/10.1109/sist61555.2024.10629600.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Khairnar, Smita, Shilpa Gite, Sudeep D. Thepade, and Kashish Mahajan. "Model Adaptation for Enhanced Liveness Face Detection: Experimental Findings on SiWMv2 Dataset." In 2024 8th International Conference on Computing, Communication, Control and Automation (ICCUBEA). IEEE, 2024. https://doi.org/10.1109/iccubea61740.2024.10774695.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Gawate, Esha, and Kanchan Dhote. "Real-Time Attendance System with Liveness Detection and Multi-Face Recognition using Transfer Learning." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10725555.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Malabi, Yudas, Mamluatul Hani'ah, Noprianto, Vivi Nur Wijayaningrum, Vipkas Al Hadid Firdaus, and Afrizal Himawan. "Efficient Employee Attendance System Integrating RFID and Android-Based Face Recognition with Liveness Detection." In 2024 International Conference on Electrical and Information Technology (IEIT). IEEE, 2024. https://doi.org/10.1109/ieit64341.2024.10763296.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Liu, Xinpeng, and Wen Wang. "Advanced Liveness Detection for Facial Recognition: Combating Fake Faces with Reflectivity Analysis." In 2024 IEEE Smart World Congress (SWC). IEEE, 2024. https://doi.org/10.1109/swc62898.2024.00245.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Garud, Dhananjay, and S. S. Agrwal. "Face liveness detection." In 2016 International Conference on Automatic Control and Dynamic Optimization Techniques (ICACDOT). IEEE, 2016. http://dx.doi.org/10.1109/icacdot.2016.7877695.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Liveness face detection' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography