Fingerprint classification based on genetic programming
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gp-bibliography.bib Revision:1.8098
- @InProceedings{Hu:2010:ICCET,
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author = "Jiaojiao Hu and Mei Xie",
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title = "Fingerprint classification based on genetic
programming",
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booktitle = "2nd International Conference on Computer Engineering
and Technology (ICCET), 2010",
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year = "2010",
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month = "16-18 " # apr,
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volume = "6",
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pages = "V6--193--V6--196",
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abstract = "In this paper, we present a novel algorithm for
fingerprint classification. This algorithm classifies a
fingerprint image into one of the five classes: Arch,
Left loop, Right loop, Whorl, and Tented arch.
Initially, preprocessing of fingerprint images is
carried out to enhance the image. Then we use genetic
programming (GP) to generate new features from the
original dataset without prior knowledge. Finally we
can classify the fingerprint through a combination of
BP network and SVM classifiers, which can not only
supplement their advantages, but also improve the
computation efficiency. We experiment this algorithm on
database from FVC2004. For the five-class problem, a
classification accuracy of 93.6percent without any
reject, and classification accuracy of 96.2percent with
a 15percent reject rate. For the four-class problem
(arch and tented arch combined into one class),
classification error can be reduced to 3.6percent with
only 7.2percent reject rate.",
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keywords = "genetic algorithms, genetic programming, BP network,
FVC2004, SVM classifier, fingerprint classification,
four-class problem, image classification,
backpropagation, fingerprint identification, image
classification, neural nets, support vector machines",
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DOI = "doi:10.1109/ICCET.2010.5486315",
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notes = "School of Electronic Engineering, University of
Electronic Science and Technology of China Chengdu,
China. Also known as \cite{5486315}",
- }
Genetic Programming entries for
Jiaojiao Hu
Mei Xie
Citations