Due to the variety of human handwritten styles, the handwritten character recognition system faces some challenges. The authors of the paper (Arabic Handwritten Characters Recognition using Convolutional Neural Network) I built my work on it, introduce a suggested model for the handwritten Arabic character recognition problem using Convolution Neural Network (CNN). They trained their network on a dataset contains 16800 examples of hand written Arabic characters and it gave them an accuracy of 94.9% on testing data.
Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, TinyGO, or even use the Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for CircuitPython, MakeCode, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.