<p style="text-align: justify;">Handwritten signature recognition is still the most widely accepted method to validate paper based documents. However, in the digital world, is hard to distinguish a scanned document with real handwritten signature from a forged document. A document can be forged with a copy of the signature made by the same person on another document and simply "pasted" into the forged one. Digital documents can be protected with digital signatures and certicates, but they are not always well accepted by general public. A document with a handwritten signature can be more accepted than a document digitally certied. Unfortunately, this imposes restrictions in the use of digital documents, requiring that signed documents continue to be paper-based, making all process more expensive and slower.</p><p style="text-align: justify;">With this work we want to present a biometric-based solution that will join the two worlds. On one hand, we want to be able to oer the security of a digital document and on the other hand, we want to give the "guarantee" of a document signed by hand. We propose a system that make use of the touchscreens of smartphones or tablets to collect handwritten signature images and biometric markers. These biometric markers are derived not only from direction of motion that is made directly into the device with a omnidirectional tip stylus or with the nger, but also the dragging or lifting movements the user makes. The obtained data is then compared with previously enrolled biometric markers of the user's handwritten signature. In this work we contend that collecting these simple biometric features allow to make automatic verication of handwritten signatures in digital documents and user authentication in online services. To make the system more interactive and easy to use, we will make use of QRCodes due to its convenience of use.</p>