Character and reader

It is practical. Accuracy rates can be measured in several ways, and how they are measured can greatly affect the reported accuracy rate.

Use it. OCR is generally an "offline" process, which analyses a static document. The second pass is known as "adaptive recognition" and uses the letter shapes recognized with high confidence on the first pass to recognize better the remaining letters on the second pass.

They can be used for: Data entry for business documents, e. These organs also have their own particular location in the brain. Pre-processing[ edit ] OCR software often "pre-processes" images to improve the chances of successful recognition.

Normalize aspect ratio and scale [20] Segmentation of fixed-pitch fonts is accomplished relatively simply by aligning the image to a uniform grid based on where vertical grid lines will least often intersect black areas.

This additional information can make the end-to-end process more accurate. This technique works best with typewritten text and does not work well when new fonts are encountered.

This is the technique the early physical photocell-based OCR implemented, rather directly.

optical character recognition algorithm

The patent was acquired by IBM.

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You Need Your Head Examined: Pages from 'Vaught’s Practical Character Reader' ()