However, characters can sometimes be too close to each other and might not be recognized. If these two steps work successfully, OCR outputs accurate results. Afterward, it uses image classification to identify each character. With computer vision technologies, OCR first detects characters one by one.
Which technology advancements provided today’s OCR technology? Computer vision You can read more about OCR in our related article. With this technology, businesses can rapidly transfer documents into their digital systems, and data analysis tools can process the relevant data. OCR is a technology that identifies characters from printed books, handwritten papers, or images. Modern OCR applications are especially poor in processing documents with poor image quality, some alphabets like less commonly used Arabic fonts such as Nastaliq, handwriting and cursive handwriting. In most practical applications, it is still far below human level accuracy. However, OCR provides outstanding results only on particular use cases. This leads some experts to claim that OCR is a “solved” problem, and no further progress is required. In the featured image, we observe that the interest in OCR is relatively stable in the last three years. Today OCR is a relatively mature technology and it is not even called AI any more which is a good example of Pulitzer Prize winner Douglas Hofstadter’s quote : AI is whatever hasn’t been done yet. Optical Character Recognition (OCR) is one of the earliest areas of artificial intelligence research.
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