Signature verification using Java - Python for small computational devices

@article{Choudhary2015SignatureVU,
  title={Signature verification using Java - Python for small computational devices},
  author={Savita Choudhary and Siddanth Kaul and Shridhar Mubaraq Mishra and J. B. Arun},
  journal={2015 IEEE International Advance Computing Conference (IACC)},
  year={2015},
  pages={655-659}
}
This paper identifies an innovative design for signature verification which is able to extract features from an individual's signatures and uses those feature sets to discriminate genuine signatures from forgeries. An innovative JAVA-PYTHON platform is used for the development. Detailed feature study, algorithm development and feature set verification is carried out during this experiment. 

Figures, Tables, and Topics from this paper.

References

Publications referenced by this paper.
SHOWING 1-10 OF 10 REFERENCES

Geometric Centroids and their Relative Distances for Off-line Signature Verification

  • 2009 10th International Conference on Document Analysis and Recognition
  • 2009

Dynamic features extraction for on-line signature verification

  • 14th International Conference on Electronics, Communications and Computers, 2004. CONIELECOMP 2004.
  • 2004

On-line signature verification algorithm incorporating pen position, pen pressure and pen inclination trajectories

  • 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221)
  • 2001

Signature classification by hidden Markov model

  • Proceedings IEEE 33rd Annual 1999 International Carnahan Conference on Security Technology (Cat. No.99CH36303)
  • 1999

A neural network approach for off-line signature verification

  • Proceedings of TENCON '93. IEEE Region 10 International Conference on Computers, Communications and Automation
  • 1993

Signature verification with a syntactic neural net

  • 1990 IJCNN International Joint Conference on Neural Networks
  • 1990