Signature
Recognition
Signatures have long been used in society as proof of identity. By signing a document, a person signifies that they are who they claim to be. Signatures tend to be a behavioral biometric since each signatures tends to vary slightly from the others based on the emotional condition of the individual. Currently, there are two types of biometric signature systems. One type compares only the geometrical features of the signature, and the other methdo loks at both the shape of the signature as well as other featuers like velocity, trajectory, and acceleration taht occur during the signing process . One major advantage of signature recognition is that evene if a perosn watches a user speaking a specific phrase. The second is based upon a more difficult algorithm that allows for recognition without the need for the use of a predetermined phrase . The two main benefits of speech based systems are that they are cheap to implement, and that they are very non-intrusive. All that the user needs is a microphone, and the user is authenticated simply by speaking. This system has ists problems as well. It is greatly disturbed by background noise and can be fooled by recordings and people who are skilled at mimicking others voices .