Sunday 21st of January 2018

Assessment of offline Digital Signature Recognition Classification Techniques

Dina Darwish

The digital signature verification has become an interesting domain, which is widely needed. The usage of online and offline digital signatures has been spreaded worldwide due to the increase of use of bank transactions and user authentication and other similar activities. This requires the creation and the diversification of new online and offline signature verification methods. The signature verification methods contain both online (or dynamic) and offline (or static) signature verification methods. In this paper, an offline digital signature verification technique is proposed, that depends on extracting several features from the signatures to be used during simulation. Some signatures were used for training and others were used for testing only. Different methods such as, vectors manipulation, ensemble classification using boosted trees, and bagged trees, were used in this paper during simulation to obtain results.

Keywords: Signature Verification, Offline Digital Signature, Features Extraction, Vectors Manipulation, Ensemble Classification, Bagged Trees

Download Full-Text


Dina Darwish
Dina Darwish received the B.Sc. in 2004 and the M.Sc. in 2006 with honors degree from Arab Academy for Science and Technology, Egypt. She received the Ph.D. degree from Cairo University, Egypt, 2009. Her main interests include communications systems, computer networks, internet technology, and multimedia systems. She is assistant professor of communications and computer networks, International Academy for Engineering and Media Science (IAEMS), Egypt, since September 2009.

IJCSI Published Papers Indexed By:





IJCSI is a refereed open access international journal for scientific papers dealing in all areas of computer science research...

Learn more »
Join Us

Read the most frequently asked questions about IJCSI.

Frequently Asked Questions (FAQs) »
Get in touch

Phone: +230 911 5482

More contact details »