Efficient and Robust Optical Character Recognition Algorithm for Signature Recognition

With the technology development over the past decades, it became necessary to provide secure recognition systems. The Optical Character Recognition (OCR) can be considered as one of the most useful software to offer security. It works on the principal of recognizing the patterns with the use of a computer algorithm. OCR has multiple uses in places that need security verification such as banks, elevators, police departments. Furthermore, it can be used in several categories simultaneously. There are two types of recognition. First is the static approach which is based on the information of the input. Second is the dynamic recognition which is more usable for recognition of speech. In fact, OCR will be one of the most important techniques for human computer interaction in future. However, in this paper we have used OCR as feature to implement our algorithm. We are presenting a new algorithm that is capable of recognizing each signature individually. This makes the system more efficient and robust,especially in banks which need to verify the customer’s signature on a regular basis. A highly efficient C# system was developed to implement the new algorithm.