Development of extracted biometric watermark recognition using Chain code and support vector machine

In today's digital world, the major source of communication is digital media such as images, video, audio or text. Therefore imitate and copyright protection of digital content remains a vital problem across the globe. To deal with this problem, digital watermarking using biometric watermark has become valuable solution for providing ownership of digital content. After extracting the biometric watermark it becomes necessary to check whether it is matched with original one or not. In this paper we have developed a chain code based feature extraction method for developing fingerprint recognition system. We have implemented 8 neighborhood method allows generation of eight different codes for each fingerprint. These codes have been used as features of the fingerprint image, which have been later used for training and testing through Support Vector Machine (SVM) classifiers. This paper illustrates working of the proposed model and aforesaid algorithm for extracted watermark fingerprint recognition.