Palmprint recognition using eigenpalms features
Pattern Recognition Letters
Online Palmprint Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Novel Palmprint Recognition Algorithm Based on PCA&FLD
ICDT '06 Proceedings of the international conference on Digital Telecommunications
Palmprint Recognition by Applying Wavelet Subband Representation and Kernel PCA
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Palmprint recognition using wavelet and support vector machines
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Personal verification using palmprint and hand geometry biometric
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
A novel personal authentication system using palmprint technology
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Palmprint recognition based on improved 2DPCA
PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
Palmprint authentication technologies, systems and applications
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Characterization of palmprints by wavelet signatures via directional context modeling
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Analysis of Brute-Force Break-Ins of a Palmprint Authentication System
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Palm line extraction and matching for personal authentication
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Personal recognition using hand shape and texture
IEEE Transactions on Image Processing
Directional filter bank-based fingerprint feature extraction and matching
IEEE Transactions on Circuits and Systems for Video Technology
A feature level multimodal approach for palmprint identification using directional subband energies
Journal of Network and Computer Applications
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Palmprint based personal verification has gained preference overother biometric modalities due to its ease of acquisition, highuser acceptance and reliability. This paper presents a newpalmprint based identification approach which uses the texturalinformation available on the palmprint by employing the ContourletTransform (CT). Center of the palm is calculated using the DistanceTransform and by calculating the parameters for the best fittingellipse, the alignment of hand `θ ' is found.Rotational invariance is achieved by cropping a square region ofsize 256 x 256 pixels around the center aligned at θ degrees. After establishing the region of interest (ROI), the twodimensional (2-D) spectrums is divided into fine slices, usingiterated directional filterbanks. Next, directional energycomponents for each block of the decomposed subband outputs arecomputed. The proposed algorithm captures both local and globaldetails in a palmprint as a compact fixed length palm code of thecomputed directional energies. Palmprint matching is then performedusing Normalized Euclidean Distance classifier. The proposedalgorithm is tested on a total of 500 palm images of GPDS Handdatabase, acquired from University of Las Palmas de Gran Canaria.The experimental results demonstrated the feasibility of theproposed system by exhibiting Genuine Acceptance Rate of 98.2%,Decidability Index of 2.6212 and Equal Error Rate of 0.7082%.