FACE SPOOFING DETECTION BASED ON DEEP FEATURE EXTRACTION AND INSTANCE-BASED CLASSIFICATION
| dc.contributor.author | Claypo, Niphat | |
| dc.contributor.author | Jaiyen, Saichon | |
| dc.contributor.author | Hanskunatai, Anantaporn | |
| dc.date.accessioned | 2026-08-06T10:40:56Z | |
| dc.date.available | 2026-08-06T10:40:56Z | |
| dc.date.issued | 2023-02-01 | |
| dc.description.abstract | Face recognition is an important task in smart home security for detecting a face or monitoring a person in a live video and verifying the identity of an authentic user. However, there have been spoofing face methods that can trick a face recognition algorithm into wrongly verifying the identity of the person. In this paper, we propose a new hybrid framework for spoofing face detection based on Convolutional Neural Network and Long Short-Term Memory (CNNLSTM) and instance-based learning algorithm. In addition, a new dataset called FSA-CCTV is proposed, which contains face images from CCTV video clips with many types of spoofing attacks. The performance of our method was compared to several other anti-spoofing methods: CNN and RI-LBP, SLRNN, HSV+YCbCr, ResNet50, YCbCr+SVM and YCbCr+KNN. The experimental results show that our method yielded 93.2% of Accuracy, 96.8% of Recall, 94% of Precision, 94.8% of F<inf>1</inf>-score and 0.93 of AUC on the FSA-CCTV dataset. From the experimental results we can conclude that the proposed algorithm outperforms other approaches and yielded the most stable classification accuracy on the proposed dataset. | |
| dc.identifier.citation | Icic Express Letters, 17(2), 235-244, 2023 | |
| dc.identifier.doi | 10.24507/icicel.17.02.235 | |
| dc.identifier.issn | 1881803X | |
| dc.identifier.other | 2-s2.0-85147512815 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/14269 | |
| dc.source | Icic Express Letters | |
| dc.subject | Convolutional neural network | |
| dc.subject | Face spoofing attack detection | |
| dc.subject | Feature extraction | |
| dc.subject | Smart security | |
| dc.title | FACE SPOOFING DETECTION BASED ON DEEP FEATURE EXTRACTION AND INSTANCE-BASED CLASSIFICATION | |
| dc.type | Article |