Handwriting detector, extractor, and language classifier
地域：
MA
MA Waltham
摘要
Disclosed are methods for handwriting recognition. In some aspects, an image representing a page of a sample document is analyzed to identify a region having indications of handwriting. The region is analyzed to determine frequencies of a plurality of geometric features within the region. The frequencies may be compared to profiles or histograms of known language types, to determine if there are similarities between the frequencies in the sample document relative to those of the known language types. In some aspects, machine learning may be used to characterize the document as a particular language type based on the frequencies of the geometric features.
說(shuō)明書
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Equation 1 above defines a ratio between a radius of a maximum circle enclosing the region and a maximum circle that can be contained in the region.
In some aspects, if the irregularity of the features in the linear set of features is above a threshold, the disclosed embodiments may determine that the linear set or group of features is likely enough to be handwriting, that additional analysis may be applied to the linear set of features. In some aspects, a probability that the linear features represent handwriting is based, at least in part, on a measurement of the irregularity of the features, such as via Equation 1 above.
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