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Today our world moving towards the smart technology in various ways. In this sharp world we are making everything basic. Instead of forming with hand we can switch our hand-made letters over totally to message plan. There are various technology's available to see handwriting and convert into text format, but still many cases are getting flaw inaccurate prediction. Many artificial intelligence classifiers open for see and classifies deciphered digit. Bunch of visual words is one of the simple classification method. Bag of features is recognizing the surface and finding components of picture and making a vocabulary with visual words. This paper propose a multi-classifier pack of features methodology to identify hand-written digits. Index Terms: Bunch of visual words, Sack of features, HDR, multi classifiers.