A Colour Code Algorithm For Signature Recognition
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Vinayak B. Kulkarni
The paper “A Colour Code Algorithm for Signature Recognition” accounts an image processing application where any user can verify signature instantly. The system deals with a Colour code algorithm, which is used to recognize the signature. The paper deals with the recognition of the signature, as human operator generally make the work of signature recognition. Hence the algorithm simulates human behavior, to achieve perfection and skill through AI. The logic that decides the extent of validity of the signature must implement Artificial Intelligence Pattern recognition is the science that concerns the description or classification of measurements, usually based on underlying model. Since most pattern recognition tasks are first done by humans and automated later, the most fruitful source of features has been to asked the people who classify the objects how they tell them a part . Signatures are a behavioural biometric that change over a period of time and are influenced by physical and emotional conditions of a subject. In addition to the general shape of the signed name. The algorithm is tested on various operating systems & we find that it works very well & satisfactory. While implementing the recognition process, we have used quite simpler way. At this stage we are getting accuracy up to about 80% to 90%.
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Kulkarni, Vinayak B. “A Colour Code Algorithm For Signature Recognition”. ELCVIA: electronic letters on computer vision and image analysis, vol.VOL 6, no. 1, pp. 1-12, https://raco.cat/index.php/ELCVIA/article/view/85555.