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Date: 2015
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/1048991
Description: In this paper, we introduce a new method of data transformation for finger vein recognition system. Our proposed method uses kernel mapping functions to map the data before performing Principal Compon ... More
Reviewed: Reviewed
Date: 2015
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.14/356183
Description: We introduce Feature Dependent Kernel Entropy Component Analysis (FDKECA) as a new extension to Kernel Entropy Component Analysis (KECA) for data transformation and dimensionality reduction in Image-b ... More
Reviewed: Reviewed
Date: 2015
Language: eng
Resource Type: book chapter
Identifier: http://hdl.handle.net/1959.14/1051779
Description: In this paper, a whole identification system is introduced for finger vein recognition. The proposed algorithm first maps the input data into kernel space, then; two-dimensional principal component an ... More
Date: 2014
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/336042
Description: Kernel functions have been very useful in data classification for the purpose of identification and verification so far. Applying such mappings first and using some methods on the mapped data such as ... More
Reviewed: Reviewed
Date: 2014
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/336000
Description: In this paper, a whole identification system is introduced for finger vein recognition. The proposed algorithm first maps the input data into kernel space, then; Two Dimensional Principal Component An ... More
Reviewed: Reviewed
Date: 2013
Language: eng
Resource Type: conference poster
Identifier: http://hdl.handle.net/1959.14/289421
Description: 1 page(s)
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