Learn what is OCR and how it can be used to extract vehicle plate numbers from images.
Table of Contents
Question
Extracting vehicle plate numbers from images is a capability of which Al workload type?
A. Image classification
B. Optical character recognition (OCR)
C. Object detection
D. Facial recognition
Answer
B. Optical character recognition (OCR)
Explanation
OCR can extract text from images and documents with mixed languages and writing styles.
The correct answer is B. Optical character recognition (OCR). OCR is the process of converting images of text into machine-readable text. OCR can be used to extract vehicle plate numbers from images by detecting and recognizing the characters on the plates. OCR is a type of computer vision, which is a subfield of artificial intelligence that deals with understanding and analyzing visual information.
Some of the applications of OCR include:
- Scanning and digitizing printed documents, such as books, invoices, receipts, etc.
- Automating data entry and verification tasks, such as forms, surveys, passports, etc.
- Enhancing accessibility and usability of digital content, such as text-to-speech, translation, search, etc.
- Improving security and law enforcement, such as identity verification, license plate recognition, etc.
OCR is different from image classification, object detection, and facial recognition, which are other types of computer vision tasks. Image classification is the process of assigning a label to an image based on its content, such as cat, dog, flower, etc. Object detection is the process of locating and identifying multiple objects within an image, such as bounding boxes, labels, and confidence scores. Facial recognition is the process of identifying and verifying the identity of a person based on their facial features, such as landmarks, embeddings, and matching.
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