Identification of palm print using dermatoglyphics analysis and detection system.
This paper investigated the biological characteristics of palm print. The preprocessing plays an important role in identifying the ridge characteristics of palm due to the complexity and poor quality of the images. As a functional plug-in of the dermatoglyphics analysis and detection system, the template-based image preprocessing was proposed in this study, including histogram redistribution, ridge orientation, and skeletonization. Using this system, the automatic identification of ridges and triradiuses was accomplished with an effective result. The study demonstrated the feasibility of the method and the potential of the system for being applied as an auxiliary diagnostic tool for heredity diseases (e.g. mammary cancer and neurofibromatosis).
Qiao
Yiaohua
Y
Biomedical Engineering Center, Beijing University of Technology, Beijing 100022, China.
Li
Zhen
Z
Wang
Qing
Q
Zeng
Yanjun
Y
Liang
Ke
K
D000465:Algorithms; D001185:Artificial Intelligence; D003878:Dermatoglyphics; D006225:Hand / Q000033:anatomy & histology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods; D010363:Pattern Recognition, Automated / Q000379:methods*; D010781:Photography / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012867:Skin / Q000033:anatomy & histology*; D013382:Subtraction Technique; D014584:User-Computer Interface