CDT Document Capture & Input Technologies 2 — Questions and Answers
Question 1: What does barcode recognition in document capture primarily enable?
- Automatic document classification and indexing (Correct answer)
- Encryption of sensitive document content
- Real-time quality assessment of scan resolution
- Conversion of documents to searchable PDF
Correct answer: Automatic document classification and indexing
Barcode recognition automates document classification and indexing by reading barcodes that carry metadata such as document type, date, or account number.
Question 2: Which capture method is best suited for high-volume, structured document processing in an enterprise environment?
- Manual keying from paper originals
- Ad-hoc desktop scanning with consumer hardware
- Centralized production scanning with automated workflows (Correct answer)
- Mobile capture using smartphone cameras
Correct answer: Centralized production scanning with automated workflows
Centralized production scanning with automated workflows provides the throughput, consistency, and quality controls needed for high-volume structured document processing.
Question 3: What is 'zone OCR' used for in document capture?
- Scanning documents in restricted security areas
- Extracting text from specific predefined regions of a document (Correct answer)
- Detecting blank margins on scanned pages
- Applying digital signatures to captured documents
Correct answer: Extracting text from specific predefined regions of a document
Zone OCR defines specific regions on a document layout from which text is extracted, allowing precise data capture from fixed-format forms and templates.
Question 4: In capture workflows, what does 'blank page detection' accomplish?
- Measures the whitespace ratio to determine scan resolution
- Automatically removes empty pages from scanned batches (Correct answer)
- Identifies pages with missing metadata fields
- Flags low-quality scans for rescanning
Correct answer: Automatically removes empty pages from scanned batches
Blank page detection automatically identifies and removes empty pages from scanned batches, reducing storage requirements and improving overall document quality.
Question 5: What is the purpose of deskewing in document capture image processing?
- Reducing the color depth of scanned images
- Straightening images that were scanned at an angle (Correct answer)
- Removing digital watermarks from documents
- Converting bitmapped text to vector format
Correct answer: Straightening images that were scanned at an angle
Deskewing is an image processing technique that automatically straightens document images captured at a slight angle, improving readability and OCR accuracy.
Question 6: Which color depth setting produces the smallest file size for standard text-only documents?
- 24-bit color
- 8-bit grayscale
- 1-bit black and white (bitonal) (Correct answer)
- 16-bit grayscale
Correct answer: 1-bit black and white (bitonal)
1-bit bitonal (black and white) scanning produces the smallest file sizes for text documents because each pixel is stored as either black or white with no intermediate shades.
Question 7: What does 'auto-cropping' do in scanner software during document capture?
- Compresses images to meet target file size limits
- Removes color information from captured images
- Automatically trims the scanned image to the document borders (Correct answer)
- Converts documents to a predefined standard page size
Correct answer: Automatically trims the scanned image to the document borders
Auto-cropping automatically detects document edges and removes the scanner background, ensuring the output image matches the actual document dimensions.
CDT Document Capture & Input Technologies 2
What does barcode recognition in document capture primarily enable?