A Novel Approach Based on PCNNs Template for Fingerprint Image Thinning

Dacheng, X. and Bailiang, L. and Nijholt, A. (2009) A Novel Approach Based on PCNNs Template for Fingerprint Image Thinning. In: 8th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2009), 1-3 June 2009, Shanghai, China.

PDF
Restricted to UT campus only: Request a copy
443Kb

Abstract:	A PCNNs-based square-and-triangle-template method for binary fingerprint image thinning is proposed. The algorithm is iterative, in which a combined sequential and parallel processing is employed to accelerate execution. When a neuron satisfies the square template, the pixel corresponding to this neuron will be noted during the process and be deleted until the end of the iteration; on the other hand, if a neuron meets a triangle template, it will be removed directly. In addition, this proposed algorithm can be effective for fingerprint thinning without considering the direction. The results showed that, with combined sequential and parallel conditions for border pixels removal, the algorithm could not only speed up the fingerprint thinning process, but also be applied to other common images. Furthermore, this algorithm might be applied to fingerprint identification systems to save the time for identifying and eliminating spurious minutiae
Item Type:	Conference or Workshop Item
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Human Media Interaction (HMI)
Link to this item:	http://purl.utwente.nl/publications/67697
Official URL:	http://dx.doi.org/10.1109/ICIS.2009.132
Export this item as:	BibTeX EndNote HTML Citation Reference Manager

Show download statistics for this publication

Repository Staff Only: item control page