Signature recognition using conjugate gradient neural networks
Jamal Abu Hasna 0
Jamal Abu Hasna
0Near East University
Available Online undefined NaN.
- https://doi.org/10.2991/jcis.2006.271How to use a DOI?
- Signature Verification, MATLAB Software, Conjugate Gradient, Segmentation, Skilled Forgery, and Genuine.
- SIGNATURE RECOGNITION USING CONJUGATE GRADIENT NEURAL NETWORKS Transforming the input before training yields much lower error, but is more sensitive. Most importantly, we have presented system can vary in security depending on the situation. Uses for such a system range from securing a credit card transaction at the point of sale to user authentication on tablet PCs. We hope that this system will help future research in creating variable security HSV systems as well as systems which can select feature sets which are optimal for a specific user.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jamal Abu Hasna PY - NaN/NaN DA - NaN/NaN TI - Signature recognition using conjugate gradient neural networks BT - 9th Joint International Conference on Information Sciences (JCIS-06) PB - Atlantis Press UR - https://doi.org/10.2991/jcis.2006.271 DO - https://doi.org/10.2991/jcis.2006.271 ID - AbuHasnaNaN/NaN ER -