A process for text recognition of generic identification documents over cloud computing
نویسندگان
چکیده
A process for accurate text recognition of generic identification documents (ID) over cloud computing is presented. It consists of two steps, first, a smartphone camera takes a picture of the ID, which is sent to a cloud server; second, the image is processed by the server and the results are sent back to the smartphone. In the cloud server, image rectification, text detections and word recognition methods are combined to extract all non-manuscript information from the ID. Rectification is based on an improved Hough Transform and the text detection approach consists of a contrast-enhanced Maximally Stable Extremal Region (MSER), using heuristics constraints to remove non-text regions. Experimental results demonstrate several advantages in the proposed process.
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