OCR stands for Optical Character Recognition, which is a technology that enables computers to recognize printed or handwritten text from scanned images, photos, or other digital documents.
To implement Armenian OCR, you would need to train an OCR engine to recognize the Armenian alphabet and its various fonts and styles. This can be achieved through machine learning and artificial intelligence techniques that involve training the OCR engine on a large dataset of Armenian text and characters.
There are several existing OCR engines that support Armenian recognition, such as Tesseract OCR and Google Cloud Vision API. These engines can be trained or fine-tuned to improve their Armenian recognition capabilities.
It’s important to note that OCR technology is not perfect, and the accuracy of Armenian OCR will depend on the quality of the input image, the complexity of the text and its formatting, and other factors. Therefore, it’s important to carefully evaluate the output of an OCR engine and perform manual verification or correction when necessary.