Hardware Approach of Fuzzy Inference Based Signature Verification System

This study describe the realization of a signature verification and forgery detection system on Altera FLEX10K FPGA device that allows for efficient hardware implementation. The system follows five steps to perform the signature verification which are data acquisition, preprocessing, comparison process and decision process. Mamdani-type fuzzy inference system is used as the core decision maker for verifying the signature. The timing analysis for the validation, functionality and performance of the model is performed using Aldec Active HDL and the logic synthesis was performed using synplify. The design is modularized and each module is modeled individually using hardware description language VHDL. This is followed by the timing analysis and circuit synthesis for the validation, functionality and performance of the designated circuit which supports the practicality, advantages and effectiveness of the proposed hardware realization for the applications with a maximum clock frequency of 39.80 MHz.