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.
7. The method of claim 1 , further comprising: deriving a binary image by binarizing the determined image region; determining, based at least in part on the binary image, whether the image region is describable using only two probability distributions; using the binary image to calculate the alpha value and to calculate the gamma value only in an instance in which it is determined that the image region is describable using only two probability distributions; and classifying the image region as a non-text-containing region in an instance in which the image region is not describable using only two probability distributions.