ABBYY FineReader Engine 9.0 for Linux > Key Features

When ABBYY FineReader Engine 9.0 for Linux is used as one of the participating recognition engines in a third-party application, it supplies recognition alternatives (or hypotheses) with a relevant confidence level for characters, words and intercharacter separation. This information helps developers design an efficient and accurate voting algorithm for applications that require multiple recognition technologies. For example, when recognizing an "O", ABBYY FineReader Engine 9.0 for Linux may return 3 hypotheses: "0" (zero), with 60% confidence; capital "O", with 80% confidence; and capital "C", with 10% confidence. Another example for intercharacter separation: the possible hypotheses for an "m" would be "m", "rn", and "in".

ABBYY FineReader Engine 9.0 for Linux provides developers with the access and ability to manipulate the recognition engine during the OCR process on a core level. The FineReader recognition engine generates hypotheses (or recognition alternatives) and allows developers to influence or fine-tune the procedure of setting the confidence level for each hypothesis (or selecting the best hypothesis) using their own specific ranking criteria.