Title :
A cranio-maxillo-facial feature extraction algorithm based on shape feature
Author :
Huang, Liwen ; Wang, Xin ; Wang, Tao ; Pang, Ke
Author_Institution :
Sch. of Electron. Inf. & Autom., Chongqing Univ. of Technol., Chongqing, China
Abstract :
This paper proposed a cranio-maxillo-facial recognition based content feature, and introduced the propos ion of the shape feature, discuss the feasibility of moment invariants in boundary identification, Experiment shown that wavelet moments can extract the shape of the cranio-maxillo-facial and can overcome the effect of image rotation and translation with high anti-jamming capability. The result proves that this method can identify the target more stable.
Keywords :
face recognition; feature extraction; identification; shape recognition; wavelet transforms; antijamming capability; boundary identification; cranio-maxillo-facial feature extraction algorithm; cranio-maxillo-facial recognition based content features; image rotation; image translation; moment invariants; shape feature; wavelet moments; Biomedical imaging; Feature extraction; Image edge detection; Shape; Wavelet transforms; X-ray imaging; Moment Invariants; content feature; cranio-maxillo-facial; image recognition; wavelet;
Conference_Titel :
System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2012 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-0914-1
DOI :
10.1109/ICSSEM.2012.6340777
