Handwritten Calculator Using Optical Character Recognition (OCR)

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-27
DOI
https://doi.org/10.5281/zenodo.15288831
Primary Topic
Postharvest Quality and Shelf Life Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Handwritten Calculator Using Optical Character Recognition (OCR)

Zenodo (CERN European Organization for Nuclear Research)
Postharvest Quality and Shelf Life Management
article

Handwritten Calculator Using Optical Character Recognition (OCR)

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 67%
Postharvest Quality and Shelf Life Management
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