Signature is a behavioral biometric: it is not based on the physical properties, such as fingerprint or face, of the individual, but behavioral ones. As such, one's signature may change over time and it is not nearly as unique or difficult to forge as iris patterns or fingerprints, however signature's widespread acceptance by the public, make it more suitable for certain lower-security authentication needs. Signature verification is split into two according to the available data in the input. Off-line signature verification takes as input the image of a signature and is useful in automatic verification of signatures found on bank checks and documents. On-line signature verification uses signatures that are captured by pressure-sensitive tablets and could be used in real time applications like credit card transactions or resource accesses.
The online signature verification system developed by Prof. Berrin Yanikoglu & Alisher Kholmatov has won the first place at The First International Signature
Verification Competition (SVC 2004) organized in conjunction with the First International Conference on Biometric Authentication (ICBA 2004). The recognition rates were about 2.8% equal error rate.
For more information please contact Alisher.