1. A method comprising: calculating an alpha value associated with an image region containing a hypothesized text fragment, the alpha value being defined as a function of a curved character length distribution, a character width distribution, and an inter-character spacing distribution for the hypothesized text fragment; calculating a gamma value based at least in part on an interval length distribution determined for the hypothesized text fragment; and classifying, by a processor, whether the image region is a text-containing region based at least in part on the calculated alpha and gamma values.
1. A method comprising: calculating an alpha value associated with an image region containing a hypothesized text fragment, the alpha value being defined as a function of a curved character length distribution, a character width distribution, and an inter-character spacing distribution for the hypothesized text fragment; calculating a gamma value based at least in part on an interval length distribution determined for the hypothesized text fragment; and classifying, by a processor, whether the image region is a text-containing region based at least in part on the calculated alpha and gamma values. 8. The method of claim 1 , wherein classifying whether the image region is a text-containing region based at least in part on the calculated alpha and gamma values comprises: determining whether the calculated alpha and gamma values satisfy a defined threshold relationship to expected alpha and gamma values; classifying the image region as a text-containing region in an instance in which it is determined that the calculated alpha and gamma values satisfy the threshold relationship to expected alpha and gamma values; and classifying the image region as a non-text-containing region in an instance in which it is determined that the calculated alpha and gamma values do not satisfy the threshold relationship to expected alpha and gamma values.