Examining Automated Signature Verification
Looking at the newest technology for signature verification
Automated signature verification systems leverage the most state-of-the-art artificial intelligence technology and the most comprehensive and advanced methods. In such systems, automatic comparison is executed by a powerful combination of verifiers using multiple, fundamentally different algorithms and techniques.
In particular, they combine a human-like holistic analysis of a signature and its segmentation with a subsequent analysis of the signature’s elements using geometrical analysis, an analytical method based on signature segmentation and finding correlations between the fragments of reference and suspect signatures, dozens of neural networks, and many other innovative techniques.
The whole verification process can be described as the work of a group of highly skilled experts. Each of them has a favorite approach, which is especially efficient in specific cases and “good enough” in others. Additionally, each of them has a special area of expertise, which may be viewed as the distinctive characteristic of a particular verifier. When they are combined, their areas of expertise complement each other to result in excellent performance. Similarly, all signature verifiers apply various approaches to analyze dozens of a signature’s characteristics.
Automated signature verification uses multiple reference images from any type of document to differentiate between characteristics of the signature and random deviations
Automated signature verification represents a bridge between the long-accepted practice of signing a document and the “reliable authentication and authorization” that is increasingly needed for financial institutions. It can provide enhanced security and control over the documents and transactions originated, transacted, and stored in today’s business environments.
Image-based signature verification in the back office can be efficiently augmented with a biometric signature verification solution at the point of presentation. The key to biometric verification of questionable signatures lies in reconstructing the writing motion and its elements.
Modern biometric signature verification systems benefit from combining multiple engines that analyze temporal biometric characteristics such as speed, acceleration, deceleration, stroke sequencing and length, pen pressure, and timing information received directly during the act of signing, together with a proven innovative technology that scrutinizes signature shape. This allows biometric signature verification to be accurate, intuitive, and fast, making it ideal for front-office applications.
