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| The LNCS series reports state-of-the-art results in computer science research,development,and education,at a high level and in both printed and electronic form.Enjoying tight cooperation with the R&D community,with numerous individuals,as well as with prestigious organizations and societies,LNCS has grown into the most comprehensive computer science resarch forum available. The scope of LNCS,including its subseries LNAI,spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields.The type of material publised traditionally includes. -proceedings(published in time for the respective conference) -post-proceedings(consisting of thoroughly revised final full papers) -research monographs(which may be basde on outstanding PhD work,research projects,technical reports,etc.) |
| face recognition i an incremental learning algorithm for face recognition face recognition based on ica combined with fld understanding iconic image-based face biometrics fusion of lda and pca for face verification fingerprint recognition complex filters applied to fingerprint images detecting prominent symmetry points used for alignment fingerprint matching using feature space correlation fingerprint minutiae: a constructive definition psychology and biometrics pseudo-entropy similarity for human biometrics mental characteristics of person as basic biometrics face detection and localization detection of frontal faces in video streams genetic model optimization for hausdorff distance-based face localization coarse to fine face detection based on skin color adaption face recognition ii robust face recognition using dynamic space warping subspace classification for face recognition gait and signature analysis . gait appearance for recognition view-invariant estimation of height and stride for gait recognition improvement of 0n-line signature verification system robust to intersession variability classifiers for recognition biometric identification in forensic cases according to the bayesian approach a new quadratic classifier applied to biometric recognition author index |
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