Current methods to help visually impaired persons read brief text like menus, business cards, and book covers are problematic because they assume both the user and the captured scene are stationary and they do not tell the visually impaired user if the target is captured by the camera. Further, these methods cannot estimate whether the text is locally skewed. This paper presents an intelligent system to estimate movement, thumbs, motion blur, text, and local skew in moving business card targets. Experimental results show that the proposed method can reduce time complexity, obtain high text detection rates, and achieve high local skew estimation rates.
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