Abstract
The authors propose a new face recognition system with an evaluation function using feature points. The feature points are detected automatically by Milborrow’s Stasm software. Before recognition, rotation compensation and size normalization are applied to the feature points. The main method is to calculate the squared error between the registered face and the input face as to length of a characteristic pair of feature points on face. The False Rejection Rate (FRR) for the registered and input face of the same person, and the False Acceptance Rate (FAR) for the registered face and a different person’s input face are evaluated. The input is a video sequence. Stable recognition is obtained with small FRR and FAR for the video of a period of 0.5 s.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
T. Jebara, Current Vision Systems for Face Recognition. http://www.cs.columbia.edu/~jebara/htmlpapers/UTHESIS/node8.html.
K. Bonnen, B. F. Klare, and A. K. Jain, “Componentbased representation in automated face recognition,” IEEE Trans. Inf. Forensics Security 8 1, 239–253 (2013).
Facial Feature Detection and Tracking. http:// wwwluxandcom/facesdk/#facialfeatures.
S. Milborrow and F. Nicolls, “Locating facial features with an extended active shape model,” in Proc. 10th European Conf. on Computer Vision (ECCV’08) (Springer, Berlin, 2008), Part IV, pp. 504–513.
F. Milborrow and F. Nicolls, “Active shape models with SIFT descriptors and MARS,” in Proc Int. Conf. on Computer Vision Theory and Applications (VISAPP) (Lisbon, 2014), pp. 380–387.
S. Milborrow, Active Shape Models with SIFT Descriptors and MAR S. http://wwwmilbouserssonicnet/stasm.
Zhe Sun, Baopu Li, Ran Zhou, Huimin Zheng., and M. Q.-H. Meng, “Removal of non-informative frames for wireless capsule endoscopy video segmentation,” in Proc. IEEE Int. Conf. on Automation and Logistics (ICAL) (Zhengzhou, Aug. 2012), pp. 294–299.
Kazuo Ohzeki, YuanYu Wei, Yutaka Hirakawa, and Toru Sugimoto, “Authentication system using encrypted discrete biometrics data,” in Proc. TRUST 2014 (Heraclion, June 30–July 2, 2014), pp. 210–211.
Author information
Authors and Affiliations
Corresponding author
Additional information
This paper uses the materials of the report submitted at the 9th Open German-Russian Workshop on Pattern Recognition and Image Understanding, held on Koblenz, December 1–5, 2014 (OGRW-9-2014).
The article published in the original.
Kazuo Ohzeki was born in 1950. He received B.E.degree from Waseda Univercity in 1974. He received Dr. (Eng.) from Tokyo Institute of Technology in 1999. He is a professor of Shibaura Institute of Technology in Tokyo Japan. His current interests include computer vision, grapghics, coding, and security.
He presented more than 200 papers, icluding 43 peer-reviewed international conference proceedings and 19 peer-reviewed journal papers, and other several books and magazine articles. He received Suzuki Memorial Award for Ghost canceller for teletext in 1981 from the institute of image Information and Television Engineers of Japan.
Masahiro Takatsuka was born in 1992. He graduated Shibaura Institute of Technology in Tokyo in 2014. Then, he joined Division of Electrical Engineering and Computer Science, the Graduate school of Engineering and Science of Shibaura Institute of Technology. His research interests include digital watermarking and security. He presented several papers both at Japanese conferences and at an IEEE international conference.
Masaaki Kajihara was born in 1991. He graduated Shibaura Institute of Technology in Tokyo in 2014. Then, he joined Division of Electrical Engineering and Computer Science, the Graduate school of Engineering and Science of Shibaura Institute of Technology.
His research interests include digital watermarking and security. He presented several papers in Japan. He is a member of the Institute of electronics and information and communication engineers of Japan (IEICE).
Yutaka Hirakawa was born in 1956. He received B.E., M.E., and Ph.D. from Kobe University in 1978, 1980, and 1991, respectively. He is a professor of Shibaura Institute of Technology, Tokyo Japan. His current interests include authentication methods, distributed algorithms,and contents delivery methods.
He is a member of the IEEE computer society, the Institute of electronics and information and communication engineers of Japan (IEICE), the institute of image electronics engineers of Japan (IIEEJ), and Information Processing Society of Japan (IPSJ).
Kiyotsugu Sato was born in 1957. He received the B.E., the M.E., and Dr. Engineer degrees in electrical engineering from Osaka City University, Japan, in 1979, 1981, and 1986, respectively.
He is currently a professor at College of Industrial Technology. His current interests are image processing, human interface and so on.
He is a member of IEICE and IPSJ.
Rights and permissions
About this article
Cite this article
Ohzeki, K., Takatsuka, M., Kajihara, M. et al. On the false rejection ratio of face recognition based on automatic detected feature points. Pattern Recognit. Image Anal. 26, 379–384 (2016). https://doi.org/10.1134/S1054661816020073
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S1054661816020073