A Palmprint Recognition System using Correlation Filters

Othman, Nadia; Azid, Azman; Samad, Salina Abdul; Hussain, Aini

doi:10.1109/scored.2006.4339315

Cited by 2 publications

(2 citation statements)

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“…They used a Band Pass phase only correlation method to extract the spectral information. Another correlation based method is presented by N. E. Othman et al [11]. They proposed an approach based on the application of unconstrained minimum average correlation energy (UMACE) filter for palmprint feature extraction and representation [11].…”

Section: Existing Methodsmentioning

confidence: 99%

“…Another correlation based method is presented by N. E. Othman et al [11]. They proposed an approach based on the application of unconstrained minimum average correlation energy (UMACE) filter for palmprint feature extraction and representation [11]. The UMACE methodology determines a different filter for each palmprint of authentic class, the correlation function gives peak for authentic palmprint, and this property is used for classification.…”

Section: Existing Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Texture Feature Extraction For Biometric Authentication using Partitioned Complex Planes in Transform Domain

Bharadi¹

2012

SpecialIssue

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Abstract-Feature vector generation is an important step in biometric authentication. Biometric traits such as fingerprint, finger-knuckle prints, palmprint, and iris are rich in texture. This texture is unique and the feature vector extraction algorithm should correctly represent the texture pattern. In this paper a texture feature extraction methodology is proposed for these biometric traits. This method is based on one step transform of the two dimensional images and then using the intermediate transformation data to generate complex planes for feature vector generation. This method is implemented using Walsh, DCT, Hartley, Kekre Transform & Kekre Wavelets. Results indicate the effectiveness of the feature vector for biometric authentication.

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Section: Existing Methodsmentioning

confidence: 99%

Section: Existing Methodsmentioning

confidence: 99%