This paper addresses the improvement of books' accessibility, especially comics, for people that have difficulty to read. To do so, we propose a comparative study of several text segmentation and text recognition in comics from images acquired freehand using a mobile terminal. Our experimentations, performed on a database that has been curated for our purpose, have allowed us to isolate the most relevant methods, use them in a modular workflow, and implement and proof-of-concept mobile application.