Accelerometers for Hand-writing Recognition

• Main Authors: Wei-Chih Lee, 李偉誌
• Other Authors: Chin-Wei Yeh
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/33119058877580169441

碩士 === 國立中正大學 === 電機工程所 === 97 === Signature verification is a kind of biometrics verification which can verify the identity of the signer using signature feature as the biometrics feature. Currently, it has already been applied to a lot of occasions needing the confirming of user identity. It is not easy to forget your own signature or forge other person’s signature like password. Comparing with other biometric systems, it is admitted as the most popular way which can be accepted by everybody in identity verification. This thesis proposed an identification method combined with an accelerometer to verify the signature. After data acquisition, preprocessing and feature extraction are necessary to enhance the input data. In the comparison process the authenticity of the test specimen is evaluated by matching its features against those stored in the knowledge-base. And Neural Networks has been used for matching in this method. The experiments demonstrated that the proposed system is an effective scheme for signature verification.