Fingerprint recognition systems have important applications for privacy and security. This has led to more studies and technologies that improve on the security and accuracy of fingerprint identification and verification systems. Such improvements and studies involve the application of three-dimensional (3D) fingerprint systems, where the details of the finger are captured using 3D technologies and the captured 3D fingerprints are converted into two-dimensional (2D) fingerprints. This paper presents a brief survey on different methods that are used to unwrap 3D fingerprint images into 2D fingerprint images, compare them on the effects of distortion and analyses two promising methods. The aim of this survey is to investigate complexity and properties of non-parametric methods so that they can be easily applied on different fingerprint identification and verification systems.
Reference:
Mlambo, C.S. and Moolla, Y. 2015. Complexity and distortion analysis on methods for unrolling 3D to 2D fingerprints. The 11th International Conference on Signal Image Technology & Internet Based Systems, 23-27 November 2015,Bangkok, Thailand.
Mlambo, C., & Moolla, Y. (2015). Complexity and distortion analysis on methods for unrolling 3D to 2D fingerprints. IEEE. http://hdl.handle.net/10204/8615
Mlambo, CS, and Yaseen Moolla. "Complexity and distortion analysis on methods for unrolling 3D to 2D fingerprints." (2015): http://hdl.handle.net/10204/8615
Mlambo C, Moolla Y, Complexity and distortion analysis on methods for unrolling 3D to 2D fingerprints; IEEE; 2015. http://hdl.handle.net/10204/8615 .
The 11th International Conference on Signal Image Technology & Internet Based Systems, 23-27 November 2015,Bangkok, Thailand.Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website.