Signature Verification

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String Matching• To compute this alignment, dynamic time warping (DTW) isusedD(i,j)=⎧D(i −1,j −1)+ dE( i,j)⎪Min⎨D(i −1,j)+ Missing Penalty⎪⎩D(i,j-1)+ Spurious Penalty– D(i,j) is the optimal alignment up to point i of the first string and pointj of the second string– d e (i,j) is the Euclidian distance between points i and j• The overall dissimilarity for a signatureDist ( I , J ) =Norm2D(I , J )_ Factor ( N I, N J)
DTW Example• Match strings ‘abcacac’ and ‘bcab’Difference Score MatrixReverse PathResult
Page 5: • On-Line:Azimuth (0°-359°)Alti
Page 8: • Disadvantages:- High intra-clas
Page 11: • Acquisition devices:AlAzPYX0 10
Page 14 and 15: • Position Normalization:10008006
Page 16 and 17: Resampling• Ensures that the sign
Page 18 and 19: Stroke Concatenation• A stroke is
Page 20 and 21: Critical Points• Re-sampling or s
Page 22 and 23: Preprocessing Steps• Fine re-samp
Page 24 and 25: Pattern Recognition Process
Page 26 and 27: Feature Extraction• Local feature
Page 28 and 29: Local Features• The 9x9 pixel nei
Page 30 and 31: Global Features
Page 34 and 35: String Matching• Each point is re
Page 36 and 37: Dimension Reduction• PCA- Transfo
Page 38 and 39: Validation Set• PCA needs samples
Page 40 and 41: • M is the squared Mahalanobis di
Page 42 and 43: Score Fusion
Page 44 and 45: Weighted Sum Rule• Assign a test

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