The Electronic Lock Using Signature Recognition By Neural Network

Rosielawati , Zawawi (2005) The Electronic Lock Using Signature Recognition By Neural Network. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

The Electronic Lock using Signature Recognition by Neural Network is a process of verifying the writer's identity by using signature recognition as a key to the electronic lock. This project highlights the development of signature recognition system using MA TLAB to recognize the input signature from the stored samples in bit-map file. The signature data will record by using the digitizing tablet and will be sent to a recognizer that will check the similarity of the writer's signature. The signature then will go through the pre-processing process and comparison process to differentiate the data signatures. In this system, the back propagation neural network algorithm in MATLAB Toolbox is used which is able to identify all the signatures stored in bit-map file. The neural network is trained to learn and identify whether the signature is genuine or forgery.

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