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Document Capture & Input Technologies Flashcards

7 cards from real CDT 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. What does OCR stand for in document management?

    Answer: Optical Character Recognition

    OCR stands for Optical Character Recognition, the technology that converts scanned images of text into machine-readable text.

  2. Which scanning resolution (in DPI) is most commonly recommended for archival capture of standard text documents?

    Answer: 300 DPI

    300 DPI is the industry standard for archival text document capture, providing sufficient quality for OCR and readability without excessive file sizes.

  3. What is Intelligent Character Recognition (ICR) primarily used for in document capture?

    Answer: Converting handwritten text into machine-readable data

    ICR is specifically designed to recognize and convert handwritten characters into machine-readable text, extending beyond OCR's printed text capabilities.

  4. In document capture, what is a 'batch' typically defined as?

    Answer: A group of documents processed together as a unit

    A batch in document capture refers to a collection of documents grouped together and processed as a single unit through the capture workflow.

  5. What technology is used to automatically extract structured data fields from varied document layouts without manual data entry?

    Answer: Intelligent Document Recognition (IDR)

    Intelligent Document Recognition (IDR) combines OCR, ICR, and AI techniques to automatically identify and extract structured data fields from various document types and layouts.

  6. Which file format is commonly produced from document scanners for lossless archival storage of black-and-white documents?

    Answer: TIFF

    TIFF (Tagged Image File Format) is the industry-standard format for archival document scanning due to its support for lossless compression and wide compatibility with document management systems.

  7. What is the primary purpose of image preprocessing in document capture?

    Answer: Enhancing image quality to improve OCR accuracy

    Image preprocessing applies enhancements such as deskewing, despeckling, and contrast adjustment to improve image quality and increase downstream OCR accuracy rates.