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Image Processing Flashcards

7 cards from real CDIA practice questions. Tap to flip, then mark Knew It or Still Learning โ€” missed cards come back until you master them.

Read the first 7 Image Processing flashcards as text
  1. In document image processing, what is 'zone OCR' used for?

    Answer: Applying OCR only to predefined regions of a document rather than the full page

    Zone OCR restricts text recognition to predefined regions (zones) on a page, improving speed and accuracy for structured forms and templates.

  2. Which image artifact is introduced when a scanner's CCD sensor has uneven sensitivity across its width?

    Answer: Vertical streaking or banding

    Uneven CCD sensitivity causes vertical streaks or banding along the scan direction, appearing as light or dark vertical lines in the scanned image.

  3. What is the CDIA-recommended minimum resolution for scanning documents intended for long-term archival?

    Answer: 300 DPI

    300 DPI is the widely accepted minimum for archival-quality document scanning, balancing image fidelity with manageable file sizes.

  4. What is the function of an image 'normalization' step in a document processing pipeline?

    Answer: Standardizing image properties such as resolution, bit depth, and orientation for consistent downstream processing

    Normalization standardizes key image properties across a batch so that subsequent processing steps (OCR, indexing, storage) receive consistent input.

  5. In the context of document imaging, what is a 'confidence score' in OCR output?

    Answer: A numeric value indicating how certain the OCR engine is about each recognized character or word

    OCR confidence scores reflect the engine's certainty for each recognized character or word, allowing low-confidence results to be flagged for human review.

  6. Which approach is used to handle mixed-orientation pages (portrait and landscape) in a batch scanning workflow?

    Answer: Automatic orientation detection and rotation using text-direction analysis

    Automatic orientation detection analyzes text line direction and character patterns to determine and correct page orientation without manual intervention.

  7. What is the purpose of 'image segmentation' in document analysis?

    Answer: Dividing a document page into meaningful regions such as text blocks, images, and tables

    Image segmentation partitions a page into logical regions (text, graphics, tables, headers) to enable targeted processing and accurate layout analysis.