Handwritten Calculator Using Optical Character Recognition (OCR)

Abstract

The Handwritten Calculator integrates the practicality of handwritten mathematics with sophisticatedcalculations to combine them into a seamless interface for carrying out calculations. By using computervision, machine learning, and human-computer interaction the system has the ability to recognize andprocess handwritten mathematics and allows for a natural experience. The system is capable of processinghandwritten notation using contour detection and, even more intricately, CNNs (convolutional neuralnetworks). As the system attempts to closely reproduce handwritten equations into a digital format, it alsoprovides output as the calculations are produced; as the system takes into consideration mistakes easily madewhen submitting notation in real-time. This application provides users with a higher degree of accuracy andaccessibility for those who find it easier to work through problems in hand-written notation than with akeyboard or mouse. The low-cost, user-friendly system is meant to be available for students, educators,professionals or anyone interested in using. The Handwritten Calculator is a step in the advancement ofhuman-computer interaction and recreating the traditional way of working hand-in-hand with computingcapability.