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Biometric Recognition 7th Chinese Conference, CCBR 2012, Guangzhou, China, December 4-5, 2012, Proceedings

Aus der Reihe Lecture Notes in Computer Science

49,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

29.10.2012

Abbildungen

XII, 184 illus., schwarz-weiss Illustrationen

Herausgeber

Wei-Shi Zheng + weitere

Verlag

Springer Berlin

Seitenzahl

390

Maße (L/B/H)

23,5/15,5/2,2 cm

Gewicht

610 g

Auflage

2012

Sprache

Englisch

ISBN

978-3-642-35135-8

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

29.10.2012

Abbildungen

XII, 184 illus., schwarz-weiss Illustrationen

Herausgeber

Verlag

Springer Berlin

Seitenzahl

390

Maße (L/B/H)

23,5/15,5/2,2 cm

Gewicht

610 g

Auflage

2012

Sprache

Englisch

ISBN

978-3-642-35135-8

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Biometric Recognition
  • Produktbild: Biometric Recognition
  • Patch-Based Bag of Features for Face Recognition in Videos.- Fusion of Local Features for Face Recognition by Multiple Least Square
    Solutions.- Complete Gradient Face: A Novel Illumination Invariant Descriptor.- A Face Authentication Scheme Based on Affine-SIFT(ASIFT) and
    Structural Similarity (SSIM).- A Study on the Effective Approach to Illumination-Invariant Face Recognition Based on a Single Image.- Weighted Group Sparse Representation Based on Robust Regression for Face Recognition.- 3D Face Pose Estimation Based on Multi-template AAM.-
    3D Aided Face Recognition across Pose Variations.- Comparing Studies of Learning Methods for Human Face Gender Recognition.- Fusion of mSSIM and SVM for Reduced-Reference Facial Image Quality Assessment.- A Survey of Face Hallucination.- Active Shape Model Based on Sparse Representation.- On the Influence of Fingerprint Area in Partial Fingerprint Recognition.- Fingerprint Identification Based on Semi-supervised FSS.- A Performance Improvement Method for Existing Fingerprint Systems.- The Location Method of the Main Hand-Shape Feature Points.- Palmprint Feature Extraction Based on Improved Gabor Wavelet Combing LBP Operator.- The Research of Multi-spectral Hand Texture Fusion Method under a Non-constraint Condition.- Rotation Invariant Finger Vein Recognition.- Hand Dorsal Vein Recognition Based on Hierarchically Structured Texture and Geometry Features.- Hand Vein Recognition Based on Feature Coding.- Contact-Less Palm Vein Recognition Based on Wavelet Decomposition and Partial Least Square.- Iris Image Deblurring Based on Refinement of Point Spread Function.- Super Resolution Reconstruction and Recognition for Iris Image
    Sequence.- Fusion of Iris and Periocular Biometrics for Cross-Sensor
    Identification.- A Review of Advances in Iris Image Acquisition System.- 3D Pure Ear Extraction and Recognition.- Multimodal Ear Recognition Based on 2D+3D Feature Fusion.- Toward Emotional Speaker Recognition: Framework and Preliminary Results.- Orthogonal Subspace Combination Based on the Joint Factor Analysis for Text-Independent Speaker Recognition.- Exploration of Phase and Vocal Excitation Modulation Features for Speaker Recognition.- Cross-View Action Recognition Based on Statistical Machine Translation.- A Comparative Study of Several Feature Extraction Methods for Person Re-identification.- Improving Biometric Verification Systems by Fusing Z-norm and F-norm.- Biometric Identification System’s Performance Enhancement by Improving Registration Progress.- Ethnicity Classification Based on a Hierarchical Fusion.- An Algorithm for Retina Features Extraction Based on Position of the Blood Vessel Bifurcation.- Recognition of Petechia Tongue Based on LoG and Gabor Feature with Spatial Information.- Human Age Estimation Using Ranking SVM.- Distance Entropy as an Information Measure for Binary Biometric Representation.- Kernel Sparse Locality Preserving Canonical Correlation Analysis for Multi-modal Feature Extraction.- Kernel Based Enhanced Maximum Margin Criterion for Feature Extraction.- A Novel Variance Minimization Segmentation Model.- Robust Integrated Locally Linear Embedding.- Estimating the Total Variability Space Using Sparse Probabilistic Principal Component Analysis.- A Competitive Model for Semi-supervised Discriminant Analysis.