PAKISTANI PAPER CURRENCY RECOGNITION SYSTEM

Abstract

The principle reason for the creation of this system is the need for the recognition ofthe local currency notes ofour country. Forthe desired purpose we have collected all the currency start from the note ofRS 10 to RS 5000. The pictures will be compared with the pictures stored in dataset and ifthe descriptors and key points for the scanned pictures matches with the pictures in our dataset, the details ofthat specific currency will be sent to the system. Some outputs are going to be available whichTl show that there is good accuracy ofrecognition ofour local currency. Starting from the noise removal techniques to make the picture look more bright and clear to adjusting all the images to some exact size, all the possible ways were implemented to maintain quality standard. Furthermore if we talk about the methods utilized in this project for the feature extraction techniques or the classification, then there were a lot ofmethods which were checked, implemented and verified and then one ofthe method got finalized. The finalized method for feature extraction is MaxPooling2D which is a library ofpython which can extract features from the vision of any image, it is one of the best feature extraction technique. The technique used for classification is Artificial Neural Networking (ANN). Itscans the picture into matrix forms, matrix are basically the small parts ofimage, then it further gives the image to the neural network to perform the further classification over here it has done the matching process. The scanned image gets compared with the images present in the project’s dataset. It gives the maximum accuracy in the results, the maximum accuracy got receivedjust by using these mentioned techniques. As during the pandemic it’s better to use this system instead of making human interaction as the virus spreads with the human touch and it’s been noticed that currency is one ofthe major cause ofspreading the virus. This system can be placed at banks and people can pay their bills at the banks using this cashier less system. Otherthan that it also reduces human efforts asthe machine would be able to perform some ofthe cashier’s work which can help the cashier manage their time and work more efficiently.