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AuthorLaadjel M.
AuthorAl-Maadeed, Somaya
AuthorBouridane A.
Available date2022-05-19T10:23:13Z
Publication Date2015
Publication NameNeurocomputing
ResourceScopus
Identifierhttp://dx.doi.org/10.1016/j.neucom.2014.11.005
URIhttp://hdl.handle.net/10576/31144
AbstractIn this paper a new graph based approach referred to as Fisher Locality Preserving Projections (FLPP) is proposed for efficient palmprint recognition. The technique employs two graphs with the first being used to characterize the within-class compactness and the second being dedicated to the augmentation of the between-class separability. In addition, a Passband Discrete Cosine Transform (PBDCT) is used for dimensionality reduction and feature extraction. This process makes the palmprint features more robust against inherent degradations of palmprint images. By applying an FLPP, only the most discriminant and stable palmprint features are retained. Since the palmprint features are derived from the principal lines, wrinkles and texture along the palm area one should carefully consider this fact when performing the feature extraction process in order to enhance recognition accuracy. To address this problem, an improved region of interest (ROI) extraction algorithm is introduced. This algorithm allows the efficient extraction of the whole palm area ignoring all the undesirable parts, such as the fingers and background. The experimental results demonstrate the effectiveness of the proposed method even for highly degraded palmprint images. An Equal Error Rate (EER) of 0.48% has been obtained on a database of 4000 palmprint images.
Languageen
PublisherElsevier B.V.
SubjectAnthropometry
Biometrics
Dimensionality reduction
Discrete cosine transforms
Extraction
Feature extraction
Graphic methods
Image segmentation
Textures
Biometric verification
Fisher linear discriminants
Graph embeddings
Locality preserving projections
Palmprints
Palmprint recognition
Article
biometry
classification algorithm
controlled study
Fisher locality preserving projection
image analysis
image processing
information processing
intermethod comparison
mathematical computing
palmprint recognition
passband discrete cosine transform
process development
process model
statistical analysis
system analysis
TitleCombining Fisher locality preserving projections and passband DCT for efficient palmprint recognition
TypeArticle
Pagination179-189
Volume Number152
dc.accessType Abstract Only


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