Çevrimdışı imza tanıma sistemi bulut kişisel bilgileri almak için

Signature is a very accepted biometric way for personal authentication and identification due to the fact that each person has their own unique signature with its specific behavioral feature. Therefore, it's highly important to recognizing the signature itself. Signature system is a behavioral biometric method, and it is divided in; online signature system and Offline signature system, the first one captures dynamic properties like time, pressure of the hand and speed during writing, while the second type analyzes stationary images of signatures, post the writing operation. Off-line system has no dynamic information available, and thus, it is a harder procedure than on-line system. An offline signature is of interest in cases where only hard copies of signatures are available, especially in which many documents have to be authenticated. We proposed applying the Novel Offline signature identification system to retrieve the personal's information, this system can be apply by using cloud server according to the type of input taken by the Client. After the signature will be identified on cloud which been uploaded by client, user information can be retrieved. In this thesis we present the cloud system allows to retrieve user information depend on offline signature identification , this identification process by using image process to classify the signature , we will use SIFT (Scale-Invariant Feature Transform) to features extraction and converts the image into a feature descriptors , Bag Of Word model (BOW) to present signature image by its histogram , and Support Vector Machine (SVM) classifier that had been successfully applied in different classification applications.