Title :
Palmprint verification using competitive index with PCA
Author :
Tamrakar, Deepti ; Khanna, Prashant
Author_Institution :
PDPM, Indian Inst. of Inf. Technol. Design & Manuf., Jabalpur, India
Abstract :
Among the various palmprint recognition techniques, competitive coding technique is very effective and gives efficient results. In the competitive coding method, gabor filters of six different orientation convolve with the palmprint image to extract the orientation information from the image. The winner-take-all strategy is used to select one orientation for each pixel, while each competitve index is coded into 3 bits, but in this study competitive index is not coded into bits. An approximation band of discrete wavelet transform of the image is used to compress the image, which has important information and makes the system illumination and translation invariant. Competitve index scheme is applied in the approximate band. Principal component analysis (PCA) is used to reduce the size of the feature vector and project the features in eigen space. Two different palmprints are matched using Euclidean distance metrics. This gives the equal error rate of .015% for palmprint verification.
Keywords :
Gabor filters; discrete wavelet transforms; eigenvalues and eigenfunctions; image coding; image recognition; principal component analysis; Euclidean distance metrics; Gabor filter; PCA; competitive coding; competitive index; competitve index; discrete wavelet transform; eigen space; feature vector; image compress; palmprint image; palmprint recognition; palmprint verification; principal component analysis; winner-take-all strategy; Covariance matrix; Discrete wavelet transforms; Feature extraction; Indexes; Pattern recognition; Principal component analysis; Discrete wavelet transform; Equal Error Rate; Euclidean Distance; Gabor filter; Principal Component Analysis; Region of interest;
Conference_Titel :
Signal Processing, Communication, Computing and Networking Technologies (ICSCCN), 2011 International Conference on
Conference_Location :
Thuckafay
Print_ISBN :
978-1-61284-654-5
DOI :
10.1109/ICSCCN.2011.6024654