What is Signature Recognition?

The objective of signature recognition is to identify the person to whom the signature belongs. Signatures are heavily relied upon by banks, businesses and governments to both authorize documents and transactions. Therefore the ability to accurately verify a signature is critical. As things like forgery and fraud can cost organizations their money, time and reputation. As a result, these organizations have relied upon the human eye. Years of experience and forensic training to make decisions regarding signature authenticity that means decisions on accuracy are also hindered by human impacts such as the level of expertise, fatigue, mood and working conditions. For example, a signature verification operator who is required to review 200 to 300 signatures an hour will have diminished accuracy over time, making more mistakes by the end of the day than the beginning. 

Now there are automated signature verification software. Organizations utilizing this software can evaluate most, if not all, signatures more reliably and at a much lower cost than they spent previously. Now there are more ways to capture signatures and the increase in electronic transactions, the need today is greater than ever. Here is how automated signature verification works- 

Automated signature verification gives you the power of software algorithms. These algorithms can analyze dozens of features of a signature and to discern characteristics of a signature that are indistinguishable to the human eye. Designed specifically to analyze a range of informative signature features, you get competing horsepower dedicated to the presence of typical elements, comparison of geometric shapes, fragments, trajectories and when used online, analysis of pressure, speed and tension. Multiple software engines work together to produce a combined output that you can rely on. This will enable officials to cope with random forgeries. Forgeries where the signature does not match the name of the authorized signee and blind forgeries, forgeries using the correct name but incorrect style are quickly identified and flagged for human review. 

Even when it comes to highly skilled forgeries, signature verification software can provide outstanding recognition capability. You can use automated signature verification for either an online or offline solution. Whether you collect and verify signatures online through signature pads, tablets, and smartphones, or you collect and verify signatures offline on paper or scanned documents. As mobile and distributed capture technologies continue to grow in adoption, signature verification is expected to grow as a reliable, readily available and accurate biometric verification measure. So, whether you are depositing cheques, opening accounts, processing insurance claims, counting ballots or enabling transactions from a point of sale or mobile device, automatic signature verification can help you identify and reduce fraud early and efficiently.