SIGNATURE RECOGNITION USING IMAGE PROCESSING

Computer Engineering

Traffic control and user document owner identification has become major drawback in each country. Generally, it becomes tough to spot user document owner UN(United Nations)agency violates traffic rules and drives too quick. Therefore, it's unimaginable to catch and penalise those forms of individuals as a result of the traffic personal won't be ready to retrieve user document range from the moving user document attributable to the speed of the user document. Therefore, there's a desire to develop SIFT(Scale Invariant Feature Transform) based mostly ASR(Automatic Speech Recognition) system as a one of the solutions to the present drawback. There are unit varied ASR systems on the market nowadays. These systems area unit supported totally different methodologies however still it's very difficult task as a number of the factors like high speed of user document, non-uniform user document signature details, language of user document range and totally different lighting conditions will have an effect on loads within the overall recognition rate. Most of the systems work underneath these limitations. During this project, totally different approaches of ASR mistreatment OCR area unit mentioned by considering image size, success rate and time interval as parameters towards the top of this project, associate degree extension to ASR is recommended.

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