Signature Verification

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Local Features• The 9x9 pixel neighborhoodis divided into nine 3x3squares– Grey values are computed bysumming pixel values in each3x3 square– Most costly operation• No features are extractedfor the last point of a stroke• Total number of features–15
Temporal Features• Absolute and relative speeds are defined asdistance per unit time– Tablet PC captures the position of the pen 100 timesper second– Distance is measured in pixels– Only distance between points is necessary to definethe speed• Speed is normalized by dividing the local speedat each sample point by the average writingspeed of the signature– Overall speed may vary but the relative speedsshould be more stable
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 30 and 31: Global Features
Page 32 and 33: String Matching• To compute this
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

Signature Verification

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