![]() ![]() ![]() However, there seems to be increasing observation on successes using AI to: Steps to overcome some of the challenges:Ĭlearly there are still challenges to be solved. Other challenges may be where the text content is blurry from camera defects, or simply motion movement or other aberrations in the image itself.To complicate things further, text in natural scenes may have visibility issues such as contrast differences between the textual content and the background, or glares and reflections, or lighting issues as one would expect from natural scenes.Text content is often skewed, often written in non-horizontal form, having partial occlusion, and written in varying different font styles.AI would need to not only decipher the text but consider the context in which the text was discovered. For example: a photo of a person posing may have text content of a slogan on a T-shirt, with a famous brand name on the person’s cap and a tattoo with the word “BELIEVE” on the forearm. You would need to decipher textual content in context of where it resides in the natural scene. This is because text content in natural scenes has some difficult problems to solve. The problem of OCR in natural scenes is far from solved. While many scientists consider that the OCR problem has been solved. Challenges of Textual Content in Natural Scenes If you have concluded – “this is just OCR in an everyday photo”! Then you be correct in thinking along those lines as that is exactly what textual content in natural scenes is all about.
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