Optical Character Recognition Based Text Image Using Raspberry Pi with Arduino to Writing Text

  • Wydyanto, Norshita Mat Nayan, Riza Sulaiman


One of the most fascinating and challenging research in the field of image processing and pattern recognition has been the Optical character recognition (OCR). Much effort has been made to automatically recognize character recognition online as well as offline. Many solutions were suggested, several based on the English language. Mainly two methods have been used in this study to classify the handwritten characters offline. They are Hidden Markov Model (HMM) and Artificial Neural Network (ANN). The gradient descent algorithm for ANN and a statistically based method for recognizing cursive characters by hand are used here. OCR has been one of the most popular Image Scanning, Pattern Recognition, and Artificial Intelligence technologies.