in the text analytics industry, Image Recognition refers to the process of computers’ understanding and interpretation of digital images. This can be done in different ways, such as understanding the shapes in an image or identifying text within an image. Image Recognition can also be used to search for similar images in a database.
Image Recognition vs. Optical Character Recognition (OCR)
Image Recognition is sometimes confused with Optical Character Recognition (OCR). OCR is the process of computers’ understanding and interpretation of the printed or handwritten text. In contrast, Image Recognition can be applied to digital images, including pictures and videos.
Types of Image Recognition
- Facial Recognition- is a specific type of Image Recognition that identifies human faces in digital images. Facial Recognition can be used for security purposes, such as unlocking a device or providing access to a building. It can also be used for marketing purposes, such as understanding who is looking at an advertisement.
- Object Recognition- is another type of Image Recognition that identifies objects in digital images. Object Recognition can be used for a variety of purposes, such as identifying products in an image or understanding the scene in a picture.
Image Recognition Applications in Different Fields
Image Recognition has many applications in different industries. For example, in the medical field, Image Recognition can be used to automatically detect cancerous cells in x-rays or MRI scans. In the retail industry, Image Recognition can be used to track products through a supply chain or to prevent theft by matching images of products with images of products that have been purchased. In the financial industry, Image Recognition can be used to detect fraudulent documents or to automatically read and categorize invoices.
Image Recognition is a growing field with many potential applications. As computers continue to become more powerful, the capabilities of Image Recognition will continue to increase, making it a promising area of research and development.