10. An image segmentation method, comprising: segmenting an input image; generating a plurality of image portions based on the segmenting; determining, for the respective image portions, if a width of the image portion exceeds an expected maximum width; for at least some of the respective image portions for which it is determined that the width of the image portion exceeds the expected maximum width: identifying a boundary between characters in the image portion using a trained neural network; segmenting the image portion at the boundary identified between the characters; and generating additional image portions corresponding to the segmented image portion.
10. An image segmentation method, comprising: segmenting an input image; generating a plurality of image portions based on the segmenting; determining, for the respective image portions, if a width of the image portion exceeds an expected maximum width; for at least some of the respective image portions for which it is determined that the width of the image portion exceeds the expected maximum width: identifying a boundary between characters in the image portion using a trained neural network; segmenting the image portion at the boundary identified between the characters; and generating additional image portions corresponding to the segmented image portion. 11. The method of claim 10 , further comprising upon generating the additional image portions corresponding to the segmented image portion, determining if the respective additional image portions exceed the expected maximum width.