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. 3. The method of claim 1 , wherein calculating the alpha value comprises calculating the alpha value based at least in part on an occupancy ratio defining a ratio of an area of the determined image region occupied by the hypothesized text fragment to a total area of the determined image region and on a stroke-width for the hypothesized text fragment.