Offline Signature Verification Using Real Adaboost Classifier Combination of Pseudo-dynamic Features

@article{Hu2013OfflineSV,
  title={Offline Signature Verification Using Real Adaboost Classifier Combination of Pseudo-dynamic Features},
  author={Juan Hu and Youbin Chen},
  journal={2013 12th International Conference on Document Analysis and Recognition},
  year={2013},
  pages={1345-1349}
}
We present an offline signature verification system using three different pseudo-dynamic features, two different classifier training approaches and two datasets. One of the most difficult problems of off-line signature verification is that the signature is just a static image while losing a lot of useful dynamic information. Three separate pseudo-dynamic features based on gray level: local binary pattern (LBP), gray level co-occurrence matrix (GLCM) and histogram of oriented gradients (HOG) are… CONTINUE READING
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Key Quantitative Results

  • The fusion of all features achieves the best result of 7.66% and 9.94% equal error rate in GPDS while 7.55% and 11.55% equal error rate in CSD respectively.

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Optimized Classification Approach for Offline Signature Verification System

2018 3rd International Conference for Convergence in Technology (I2CT) • 2018
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Parsimonious Coding and Verification of Offline Handwritten Signatures

2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 2017

References

Publications referenced by this paper.
Showing 1-10 of 19 references

Combination of Signature Verification Techniques by SVM

2012 International Conference on Frontiers in Handwriting Recognition • 2012

Fusion of features and classifiers for off-line handwritten signature verification

The First Asian Conference on Pattern Recognition • 2011
View 2 Excerpts

Alonso.Signature Verification using Local Directional Pattern (LDP)

Miguel A.Ferrer, Francisco Vargas, Carlos M.Travieso, B Jesus
IEEE International Carnahan Conference on Security Technology (ICCST), • 2010
View 1 Excerpt

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