Methods and apparatus to detect a text region of interest in a digital image using machine-based analysis

A non-transitory computer readable medium comprising computer readable instructions which, when executed, cause at least one processor to at least:

• generate text data from a first image, the first image including a first text region of interest and a second text region not of interest;
• generate a plurality of color-coded text-map images, the plurality of color-coded text-map images including color-coded segments with different colors, the color-coded segments corresponding to different text characteristics;
• and
• determine a first location in the first image as more likely to be the first text region of interest than a second location in the first image corresponding to the second text region that is not of interest based on performing a CNN analysis on the first image and the plurality of color-coded text-map images.

A method to analyze characteristics of text of interest, the method comprising:

• generating text data from a first image, the first image including a first text region of interest and a second text region not of interest;
• generating a plurality of color-coded text-map images, the plurality of color-coded text-map images including color-coded segments with different colors, the color-coded segments corresponding to different text characteristics;
• and
• determining a first location in the first image as more likely to be the first text region of interest than a second location in the first image corresponding to the second text region that is not of interest based on performing a CNN analysis on the first image and the plurality of color-coded text-map images.