We are independent & ad-supported. We may earn a commission for purchases made through our links.
Advertiser Disclosure
Our website is an independent, advertising-supported platform. We provide our content free of charge to our readers, and to keep it that way, we rely on revenue generated through advertisements and affiliate partnerships. This means that when you click on certain links on our site and make a purchase, we may earn a commission. Learn more.
How We Make Money
We sustain our operations through affiliate commissions and advertising. If you click on an affiliate link and make a purchase, we may receive a commission from the merchant at no additional cost to you. We also display advertisements on our website, which help generate revenue to support our work and keep our content free for readers. Our editorial team operates independently of our advertising and affiliate partnerships to ensure that our content remains unbiased and focused on providing you with the best information and recommendations based on thorough research and honest evaluations. To remain transparent, we’ve provided a list of our current affiliate partners here.
Software

Our Promise to you

Founded in 2002, our company has been a trusted resource for readers seeking informative and engaging content. Our dedication to quality remains unwavering—and will never change. We follow a strict editorial policy, ensuring that our content is authored by highly qualified professionals and edited by subject matter experts. This guarantees that everything we publish is objective, accurate, and trustworthy.

Over the years, we've refined our approach to cover a wide range of topics, providing readers with reliable and practical advice to enhance their knowledge and skills. That's why millions of readers turn to us each year. Join us in celebrating the joy of learning, guided by standards you can trust.

What Is Pattern Recognition Image Processing?

By Alex Newth
Updated: May 16, 2024

Pattern recognition image processing is a method used to scan for similarities in images based on a pixel-by-pixel scan of the source image. While pattern recognition image processing may find exact matches, the software is geared toward finding similarities. The primary use of this type of software is for law enforcement agencies to check for forgeries or for suspects, but it also can be used to search images for something difficult to find or in video editing. This tool is not set up to find exact matches, so it is possible that there may be inaccuracies between two patterns.

To find a specific pattern using pattern recognition image processing, the software performs a pixel-by-pixel scan of a source image and compares it to a second image. A pixel-by-pixel scan means the process looks at every pixel and detects similarities between the two images. It judges the pixels’ colors, along with general outlines and features found in the source image; color can change in different environments, so this generally is a secondary metric used in finding similarities. If the pattern recognition software is specialized, such as for finding similarities between faces, then there will be extra metrics for comparing common aspects of the human face, such as the ears and the eyes.

There is software capable of finding exact matches between images, and pattern recognition image processing may be able to find an exact match. At the same time, this process is geared more toward finding similarities, which generally makes the tool more versatile. For example, if the user is looking for similarities between two images of the same beach, but one image has a slightly different perspective, then the exact-matching system will say they have nothing in common.

This process is most often used by law enforcement agencies to identify suspects or to compare signatures and forgeries. With forgeries, the pattern recognition image processing program is not quite as effective as exact-match technology, but it may be able to detect a fake signature. To find a suspect, this program would compare a picture of the suspect with images taken from security cameras in stores and other areas.

While pattern recognition image processing software generally is accurate, it can have problems. For example, if there is someone who looks similar to a suspect, then this software will recognize that similarity and law enforcement may arrest the wrong person. This is because the program is set up more for similarities, but most users know that, so most matches are treated with some caution to ensure that inaccuracies remain minimal.

EasyTechJunkie is dedicated to providing accurate and trustworthy information. We carefully select reputable sources and employ a rigorous fact-checking process to maintain the highest standards. To learn more about our commitment to accuracy, read our editorial process.
Discussion Comments
Share
EasyTechJunkie, in your inbox

Our latest articles, guides, and more, delivered daily.

EasyTechJunkie, in your inbox

Our latest articles, guides, and more, delivered daily.