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Image Capture & Processing Techniques Flashcards

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

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  1. In document capture, what does 'throughput' measure for a production scanner?

    Answer: The number of pages processed per minute (ppm) or images per minute (ipm)

    Scanner throughput, measured in pages per minute (ppm) or images per minute (ipm), indicates how many document sides can be digitized in a given time period.

  2. Which process detects and marks blank pages during scanning so they can be automatically excluded from the document set?

    Answer: Blank page detection

    Blank page detection analyzes pixel content density and removes pages that fall below a defined threshold of ink coverage, preventing empty pages from entering the document repository.

  3. What challenge does scanning mixed-size document batches (e.g., letter and legal pages together) present?

    Answer: The automatic document feeder may misfeed, and image cropping must dynamically adjust to each page's dimensions

    Mixed-size batches risk mechanical misfeeds in the ADF and require auto-size detection so the scanner crops each image to the actual document dimensions rather than a fixed template.

  4. What is the effect of increasing JPEG compression quality on a scanned document image?

    Answer: Larger file size with better image fidelity and fewer compression artifacts

    Higher JPEG quality settings reduce compression ratios, retaining more image data and reducing artifacts such as blocking, but producing proportionally larger output files.

  5. Which technique allows a scanner to automatically detect the document boundaries and remove the excess scanner bed background from the image?

    Answer: Auto-crop (content detection)

    Auto-crop or content detection algorithms identify the actual document edges by detecting contrast differences between the paper and the scanner background, trimming the image to the document boundary.

  6. In document imaging, what is 'intelligent character recognition' (ICR) designed to handle that standard OCR cannot?

    Answer: Handwritten text and cursive script

    ICR extends OCR capabilities by using pattern recognition and machine learning to interpret handwritten characters and cursive writing, which standard OCR engines typically cannot process accurately.

  7. What is the significance of the AIIM/ISO standards for document scanning in enterprise capture systems?

    Answer: They define quality benchmarks, metadata standards, and best practices ensuring interoperability and archival integrity

    AIIM and ISO standards (such as ISO 19005 for PDF/A) establish guidelines for scan quality, metadata, file formats, and processes that ensure long-term accessibility, legal admissibility, and system interoperability.