ITERATIVE RECOGNITION-GUIDED THRESHOLDING AND DATA EXTRACTION

摘要

Techniques for improved binarization and extraction of information from digital image data are disclosed in accordance with various embodiments. The inventive concepts include independently binarizing portions of the image data on the basis of individual features, e.g. per connected component, and using multiple different binarization thresholds to obtain the best possible binarization result for each portion of the image data independently binarized. Determining the quality of each binarization result may be based on attempted recognition and/or extraction of information therefrom. Independently binarized portions may be assembled into a contiguous result. In one embodiment, a method includes: identifying a region of interest within a digital image; generating a plurality of binarized images based on the region of interest using different binarization thresholds; and extracting data from some or all of the plurality of binarized images. Corresponding systems and computer program products are also disclosed.

主权项

1. A computer-implemented method, comprising:
identifying a region of interest within a digital image; generating a plurality of binarized images based on the region of interest, wherein some or all of the binarized images are generated using a different one of a plurality of binarization thresholds; and extracting data from some or all of the plurality of binarized images.