Proceedings ArticleDOI
DSP hardware design for fingerprint binarization and thinning on FPGA
R. Das,Abhishek De,Chandrajit Pal,Amlan Chakrabarti +3 more
- pp 544-549
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TLDR
An efficient design of DSP hardware for binarization and thinning of fingerprint images has been achieved based on Otsu's thresholding method for binARization and Zhang and Suen's method for thinning.Abstract:
Binarization and thinning are the two critical preprocessing stages designed for accurate extraction of minutiae features from the preprocessed image in fingerprint identification system. In this work an efficient design of DSP hardware for binarization and thinning of fingerprint images has been achieved based on Otsu's thresholding method for binarization and Zhang and Suen's method for thinning. Optimization has been achieved in our proposed hardware design, which improved the performance in terms of execution speed. The algorithms are designed in Xilinx System Generator using DSP hardware blocks and executed on Xilinx Spartan 6 FPGA (field programmable gate array) device.read more
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References
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A fast parallel algorithm for thinning digital patterns
T. Y. Zhang,Ching Y. Suen +1 more
TL;DR: A fast parallel thinning algorithm that consists of two subiterations: one aimed at deleting the south-east boundary points and the north-west corner points while the other one is aimed at deletion thenorth-west boundarypoints and theSouth-east corner points.
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Fingerprint image enhancement: algorithm and performance evaluation
Lin Hong,Yifei Wan,Anil K. Jain +2 more
TL;DR: A fast fingerprint enhancement algorithm is presented, which can adaptively improve the clarity of ridge and valley structures of input fingerprint images based on the estimated local ridge orientation and frequency.
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Speckle reducing anisotropic diffusion
Yongjian Yu,Scott T. Acton +1 more
TL;DR: This paper provides the derivation of speckle reducing anisotropic diffusion (SRAD), a diffusion method tailored to ultrasonic and radar imaging applications, and validates the new algorithm using both synthetic and real linear scan ultrasonic imagery of the carotid artery.
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Fingerprint classification by directional image partitioning
TL;DR: This work introduces a new approach to automatic fingerprint classification in which the directional image is partitioned into "homogeneous" connected regions according to the fingerprint topology, thus giving a synthetic representation which can be exploited as a basis for the classification.