Embedded Platform For Online Signature Verification

in my project the proposed system is used for verifying the signature of particular person with help of embedded plat form on mobile devices. This paper studies online signature verification on PC interface-based mobile devices. A simple and effective method for signature verification is developed. An online signature is represented with a discriminative feature vector derived from attributes of several histograms that can be computed in linear time. The resulting signature template is compact and requires constant space. The algorithm used in this project is SVM (support vector machine). The signatures are acquired using a digitizing tablet which captures both dynamic and spatial information of the writing. After preprocessing the signature, several features are extracted. The authenticity of a writer is determined by comparing an input signature to a stored reference set (template) consisting of three signatures. The similarity between an input signature and the reference set is computed using string matching and the similarity value is compared to a threshold. Several approaches for obtaining the optimal threshold value from the reference set are investigated. The results demonstrate the problem of within-user variation of signatures across multiple signatures and the effectiveness of cross session training strategies to alleviate these problems