The images of signatures have been easily forged by fraudsters for many years past, giving rise to a varied range of hard-to-use security systems such as PIN numbers, passwords and a host of ID tokens. Signatures however are not as insecure as the market will have you to believe, replicating the image is easy, replicating how-it-is-done is much more difficult. It is this unseen behaviour of signing which SignHear captures and uses to verify its customers. The combination of movements across a surface creates a set of sounds, which is uniquely identifiable to the customer, enabling replication from an image almost impossible. This combination of movements gives rise to a behaviour which can only be done by the customer when they so choose, thus SignHear does not only indicate the presence of the customer, or the presence of their token/PIN/fingerprint/etc, but it also shows intent. It shows that the customer intended to carry out the task in question, and it was no mere mistake they had submitted their signature. This factor becomes highly important in mission critical environments. It is true that signatures do vary even when the same customer signs the same signature again, though the pattern of ‘how' the customer signs remains very much the same and the robust algorithms of SignHear caters for this.
The usage of sound to capture a signature reduces the complexity of the processing system considerably, thus enabling the price of this eloquent Biometric technology to be highly competitive. And with the universal acceptance by customers of signatures as a form of identity and intent verification, SignHear makes available to the market place a very attractive offering in the form of a highly robust, low cost and customer friendly biometric solution.
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