Document Quality Assessment And Retry

via “document image quality assessment and filtering”

image-to-text model by undefined. 4,10,015 downloads.

Unique: Combines classical image quality metrics (Laplacian variance for blur, histogram analysis for contrast) with learned features from PaddleOCR's document detection backbone to identify OCR-relevant quality issues

vs others: More targeted than generic image quality metrics (BRISQUE, NIQE) because it specifically optimizes for OCR-relevant degradation; faster than running full OCR for filtering because it uses lightweight feature extraction

via “document-quality-assessment”

via “document-quality-assessment-and-retry”

via “document-quality-assessment”

via “document quality assessment and validation”

via “document-quality-assessment”

via “document-quality-assessment”

via “document quality assessment and validation”

via “document quality assessment and image enhancement”

via “document-quality-assessment”

via “document-quality-validation-and-error-flagging”