Multi-Template Processing of Fingerprint Recognition Algorithm

Lian Ying Zou; Ying Zhou; Xiang Dong; Yu Chen

doi:10.4028/www.scientific.net/AMM.610.332

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 610Multi-Template Processing of Fingerprint...

Multi-Template Processing of Fingerprint Recognition Algorithm

Abstract:

Using multi-template processing algorithm, the fingerprint features are accurately collected. Through normalization, make the black and white point contrast of the fingerprint image more obviously, strengthen the ridge line texture. Direction calculating algorithm is based on the grey value of the neighborhood pixels. It can be implemented simply and speedily. Through direction filter, noises can be removed, and the contrast of the fingerprint’s ridge lines and valley lines can be enhanced. After binary converting, all information of the fingerprint is stored with 0 and 1. The effect of thinning is to make the fingerprint image more distinct to extract the fingerprint feature point easily. These steps had been implemented on Altera DE2 board with HDL codes. The experimental results indicate that the multi-template algorithm of fingerprint image processing is correct and practicable.

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Periodical:

Applied Mechanics and Materials (Volume 610)

Pages:

332-338

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.610.332

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Online since:

August 2014

Authors:

Lian Ying Zou*, Ying Zhou, Xiang Dong, Yu Chen

Keywords:

Feature Matching, Fingerprint, Multi-Template, Normalization, Recognition

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* - Corresponding Author

References

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