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Document image quality assessment (DIQA) is an important and challengingproblem in real applications. In order to predict the quality scores ofdocument images, this paper proposes a novel no-reference DIQA method based oncharacter gradient, where the OCR accuracy is used as a ground-truth qualitymetric. Character gradient is computed on character patches detected with themaximally stable extremal regions (MSER) based method. Character patches areessentially significant to character recognition and therefore suitable for usein estimating document image quality. Experiments on a benchmark dataset showthat the proposed method outperforms the state-of-the-art methods in estimatingthe quality score of document images.

CG-DIQA: No-reference Document Image Quality Assessment Based on Character Gradient