Handwritten biometric recognition

Handwritten biometric recognition is the process of identifying the author of a given text from the handwriting style.

Handwritten biometrics can be split into two main categories: Static: In this mode, users writes on paper, digitize it through an optical scanner or a camera, and the biometric system recognizes the text analyzing its shape.

Dynamic: In this mode, users writes in a digitizing tablet, which acquires the text in real time.

Dynamic information for handwriting movement analysis usually consists of the following information: Better accuracies are achieved by means of dynamic systems.

While the goal of handwritten biometrics is to identify the author of a given text, the goal of an OCR is to recognize the content of the text, regardless of its author.

Example of handwritting of a sequence of digits. Its dynamic information is shown on the right. It is interesting to enphasize that movements in the air are also acquired by the digitizing tablet. These movements can be identified because pressure is equal to zero.
Example of dynamic information of handwritting.