Signature recognition

Signature recognition is an example of behavioral biometrics that identifies a person based on their handwriting.

It can be operated in two different ways: Static: In this mode, users write their signature on paper, and after the writing is complete, it is digitized through an optical scanner or a camera to turn the signature image into bits.

[1] The biometric system then recognizes the signature analyzing its shape.

Some systems also operate on smart-phones or tablets with a capacitive screen, where users can sign using a finger or an appropriate pen.

[3] The most popular pattern recognition techniques applied for signature recognition are dynamic time warping, hidden Markov models and vector quantization.

Example of signature shape.
Example of dynamic information of a signature. Looking at the pressure information it can be seen that the user has lift the pen 3 times in the middle of the signature (areas with pressure equal to zero).