Many users of OCR don’t realize what the impact of resolution and bit-depth is or even what they are. Usually in the case of OCR more is better. More resolution, more bit-depth. It’s more information the OCR engine can use to interpret text. But as with many things there is a point of diminishing returns, as it relates to image resolution diminishing returns are very interesting.
You will hear a lot that 300 DPI is the best resolution to scan an image for OCR. But why? 300 DPI is that magic number where you gain the most accuracy with out sacrificing speed and file size. If you were to put the resolutions on a progressive line starting with 96 DPI and run test of both OCR accuracy, scanning speed, OCR speed, and file size. You will notice something very interesting, the improvement gap between 200 DPI scan and 300 DPI scan will be at least 2 times the improvement gap of any other resolutions. Now if you look at the same line between 300 DPI and 400 DPI the improvement gap is nearly absent, but still there. This simple study is the reason 300 DPI is the ideal resolution for OCR scanning. Now lets look at why.
There is one major reason that 300 DPI is optimal besides it has a reasonable scan speed and reasonable file size, but the biggest reason is the Engine cores were all initial trained on this resolution. Some engine’s no matter what resolution you give it will actual sample up or down to get to 300 DPI. The image pre-processing/cleanup engines are similarly setup.
There are always exceptions, and the area of exceptions are usually in hand-printed forms ( ICR ), or documents with small print.
The beauty of the 300 DPI best practice is that it’s one of the few things in the area of OCR and Data Capture that is consistent through document type. You have been told to use 300 DPI and now you know reason behind it.
Chris Riley – Sr. Solutions Architect
Ilya Evdokimov is a long-term practitioner and expert in leading Optical Character Recognition (OCR), Data Capture and Document Processing techniques, technologies and solutions. With over 15 years of experience spanning enterprise software implementations, mobile applications development, cloud-based systems integration and desktop-level automation, Ilya Evdokimov uses through industry knowledge and experience to achieve high efficiency and workflow optimization in most challenging paper-dependent and digital image capture environments.