title: Case study of 3D fingerprints applications.
abstract: Human fingers are 3D objects. More information will be provided if three dimensional (3D) fingerprints are available compared with two dimensional (2D) fingerprints. Thus, this paper firstly collected 3D finger point cloud data by Structured-light Illumination method. Additional features from 3D fingerprint images are then studied and extracted. The applications of these features are finally discussed. A series of experiments are conducted to demonstrate the helpfulness of 3D information to fingerprint recognition. Results show that a quick alignment can be easily implemented under the guidance of 3D finger shape feature even though this feature does not work for fingerprint recognition directly. The newly defined distinctive 3D shape ridge feature can be used for personal authentication with Equal Error Rate (EER) of ~8.3%. Also, it is helpful to remove false core point. Furthermore, a promising of EER ~1.3% is realized by combining this feature with 2D features for fingerprint recognition which indicates the prospect of 3D fingerprint recognition.
authors.affiliation: Computer Vision Institute, School of Computer Science & Software Engineering, Shenzhen University, Shen Zhen, Guang Dong, China.
authors.forename: Feng
authors.initials: F
authors.lastname: Liu
authors.affiliation: Computer Vision Institute, School of Computer Science & Software Engineering, Shenzhen University, Shen Zhen, Guang Dong, China.
authors.forename: Jinrong
authors.initials: J
authors.lastname: Liang
authors.affiliation: Computer Vision Institute, School of Computer Science & Software Engineering, Shenzhen University, Shen Zhen, Guang Dong, China.
authors.forename: Linlin
authors.initials: L
authors.lastname: Shen
authors.affiliation: Computer Vision Institute, School of Computer Science & Software Engineering, Shenzhen University, Shen Zhen, Guang Dong, China.
authors.forename: Meng
authors.initials: M
authors.lastname: Yang
authors.affiliation: Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong.
authors.forename: David
authors.initials: D
authors.lastname: Zhang
authors.affiliation: Computer Vision Institute, School of Computer Science & Software Engineering, Shenzhen University, Shen Zhen, Guang Dong, China.
authors.forename: Zhihui
authors.initials: Z
authors.lastname: Lai
mesh_terms: D016208:Databases, Factual; D003878:Dermatoglyphics; D006801:Humans; D021621:Imaging, Three-Dimensional