A new recognition technology, Machine-Learned Fragment Analysis (MLFA) has appeared as a component of ExperVision's TypeReader 1.0, which was introduced in late 1991. This new technology applies a totally new set of algorithms to the problem of recognizing text from image. MLFA does not employ any form of sequential database searching/matching methodology. Rather, it uses pure mathematical modeling to evaluate image fragments for content and the reliability of that content.

MLFA technology is based on a multi-dimensional mathematical model. This model is extremely fast. It has the capacity to contain font and character information for virtually any character in any language. The MLFA model was initially developed to enable recognition of Kanji (a symbolic language, used in Japan and China). The Kanji language contains over 7000 characters, compared to the approximately 75 characters found in English and European alphabets. The current implementation of MLFA technology -- TypeReader 1.0 for Windows --supports the recognition of virtually every commercially available font used for English.

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