


We propose a new approach for automatic authentication using dynamic signature.

Online signature authentication is increasingly gaining interest thanks to the advent of high quality signature devices. The rapid advancements in communication, networking and mobility have entailed an urgency to further develop basic biometric capabilities to face security challenges. Role : We described an effective method for online signature verification USING FISHER BASED PROBABILISTIC NEURAL NETWORK Title : A NOVEL APPROACH FOR ONLINE SIGNATURE VERIFICATION Soft Skills : Adaptable, Team worker, Passion to learn new things Key Skills(Languages) : C, C++, JAVA, C# &. SSLC Bangalore Higher Secondary School, Bangalore. I seek an environment that is challenging and learning, and intellectually and professionally stimulating environment where I can apply my knowledge and skills to accomplish the dual objectives of contributing in the growth of my work place as well as enriching my own knowledge, skills and experience.Ĭlass/Course Name of Institute Board/University Year of Passing Marks%īangalore Visvesvaraya Technological University 2011 55.35 Searching for software jobs(development r testing) Designation / Skillset : bangalore/software(development r testing)/c,c++,java,dot net
