Kedis ku xidhan hagaha · Dhexdhexaad Heerka

Kediska Aqoonsiga Dabeecada indhaha

Dib u eeg beddelka qoraalka OCR, aqoonsiga isku xigxiga, ka-hortagga, Tesseract, xadka qoraalka, iyo moodooyinka muuqaalka heerka dukumeenti

Wadooyinka haga ee la xidhiidhaAqoonsiga Dabeecada indhaha
Su'aal 1 ee 8

Waa maxay shaqada asaasiga ah ee OCR?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Waa maxay shaqada asaasiga ah ee OCR?
    • Si sawirada qoraalka loogu badalo koodh la akhriyi karo mashiinka
    • Si loo cadaadiyo sawirada si ay u qaataan meel wax lagu kaydiyo oo yar
    • Si toos ah qoraalka xasaasiga ah ee ku jira dukumentiyada u khafiifiya
    • Si lootarjumo codka lagu hadlo qoraal hoosaadyo qoran
  2. Which architecture lets OCR recognize a sequence without explicit character segmentation?
    • A fixed one-template-per-character lookup
    • A sequence recognizer trained with CTC or an attention decoder
    • A region-proposal network only
    • A color threshold rule
  3. Waa maxay sababta 'de-skewing' ay u tahay tallaabo hore u qaadis caadi ah oo ku jirta dhuumaha OCR?
    • Waxay ku darsataa midab madow-iyo-caddaan sawir-qaadis
    • Waxay si qarsoodi ah dukumentiga u xafidaa sir ahaansho
    • Waxay toosisaa qoraalka leexleexan ama rogan si ay u sahlanaato in la akhriyo
    • Waxay kordhisaa xallinta faylka wixii ka baxsan asalka
  4. Waa kuwee kuwan matoorka OCR-ka ah ee si weyn loo isticmaalo?
    • TensorBoard
    • Photoshop
    • FFmpeg
    • Tesseract
  5. Waa maxay sababta qoraalka gacanta lagu qoray uu guud ahaan uga adag yahay OCR qoraalka daabacan?
    • Qaababka xarfaha aad ayey ugu kala duwan yihiin qorayaasha waxayna inta badan isku xiraan ama is dulsaaraan
    • Gacan-qorista had iyo jeer waxay isticmaashaa midabyo khad aan caadi ahayn
    • Gacan-qorista had iyo jeer way ka weyn tahay qoraalka daabacan
    • Kamaradu ma saari karaan boggaga gacanta lagu qoray
  6. What does the OCR-free Donut model do in document understanding?
    • It only de-skews images and never reads text
    • It processes a document image directly to produce task-specific text outputs without a separate OCR stage
    • It requires Tesseract output as its input for every task
    • It detects motion vectors between consecutive document frames
  7. What is CTC useful for in OCR?
    • Encrypting scanned pages
    • Correcting every spelling error
    • Training sequence predictions when input-frame and output-character alignment is not given
    • Finding legal signatures
  8. Why should OCR output be checked against the source image?
    • OCR always omits spaces
    • The source image is never available
    • Text recognition is legally inadmissible
    • Recognition can still err on degraded, unusual, or handwritten text