History Behind DNA Facial Recognition Testing

Posted by Kaira Turner on November 7th, 2022

In the Market Leadership section, researchers have done extensive research on facial Recognition and Face DNA test but never with an eye toward the technology's early days or what the future may hold.

Facial Recognition Begins in the 1960s

Woody Bledsoe,  Helen Chan Wolf, and Charles Bisson were the first pioneers of face recognition. Bledsoe, Wolf, and Bisson started working on computer-based facial Recognition in 1964 and 1965. Although the technology of the time severely limited Bledsoe, Wolf, and Bisson's early efforts in facial Recognition, they nonetheless represent a crucial first step in demonstrating the technique's viability.

Facial Recognition Accuracy Improvement - the 1970s

Following up on Bledsoe's original research, Goldstein, Harmon, and Lesk continued the study in the 1970s and expanded it to incorporate 21 distinct subjective indicators, including hair color and lip thickness, to automate identification. The measurements and positions had to be calculated manually, which proved to be very labor-intensive but still a development over Bledsoe's RAND Tablet technology.

Facial Recognition Using Linear Algebra: 1980s/90s

We didn't make any further strides in developing facial recognition software as a practical biometric for enterprises until the late 1980s. Sirovich and Kirby started using linear algebra to solve the face recognition issue in 1988. A system called Eigenface demonstrated how feature analysis of a group of facial photos might provide a set of fundamental traits. Additionally, they showed that less than 100 values were necessary to correctly code a normalized face picture.

Program FERET - 1990s/2000s

Early in the 1990s, the Face Recognition Technology (FERET) initiative was launched. Creating a database of face pictures was part of the project. The test set had 2,413 still-face photos of 856 individuals.

Vendor Tests of Face Recognition - the 2000s

Early in the new millennium, the National Institute of Standards and Technology (NIST) started conducting Face Recognition Vendor Tests (FRVT) and Face DNA test. Based on FERET, FRVTs were created to provide impartial government assessments of prototype and commercially available facial recognition systems. 

2006 Face Recognition Grand Challenge

The Facial Recognition Grand Challenge (FRGC), established in 2006, has as its primary objective the promotion and advancement of face recognition technology intended to assist ongoing face recognition initiatives within the U.S. Government. The FRGC assessed the most recent facial recognition algorithms. The experiments used high-resolution facial pictures, 3D face scans, and iris photos. The findings demonstrated the improvements in facial recognition technology over the previous ten years, with the new algorithms being ten times more accurate than face recognition algorithms from 2002 and 100 times more accurate than in 1995.

Social Media: 2010 to the Present

Facebook started adopting facial recognition technology in 2010 to assist in identifying persons whose faces could appear in the pictures that Facebook users upload regularly. The news media immediately found the feature contentious, which led to a flurry of pieces on privacy. However, most Facebook users didn't seem to mind. More than 350 million photographs are uploaded and tagged using face recognition daily, with no discernible adverse effects on the website's popularity or use.

What Is Face DNA Testing For Face Recognition?

It is a test that utilizes your face to collect facial characteristics associated with your body and compares the findings with those of another person to ascertain whether or not you are related to them. This test is used in various investigations, including paternity tests and ancestry tracing. With some precision, facial Recognition can track minute characteristics and use them to infer potential relationships.

DNA Testing Procedure For Face Recognition:

For this exam, a picture is necessary which is called online picture DNA test. This image is posted online and sent straight to the testing business. The testing business must get a questionnaire on your character and the other requirements. The testing firm then compares and determines the connection between you and that other individual using the photo to identify minor characteristics like ear size, length and thickness of lips, ear structure, etc. This testing is often performed to determine if certain qualities may or cannot be passed down from parents. There are apps like Face recognition app to help this process.

Face Recognition Using DNA Analysis

Facial Recognition is useful for ancestry tests, often used to determine a person's ancestry or inheritance. Doing this may teach people about their history and what their past represents. Although the truth may be both harsh and tender, you might want to be ready to know about this type of fact. You may learn something about your past that you weren't intended to know, which might even result in trauma or other mental health problems like depression.

Facial Recognition Technology's Prospects

As 2022 approaches, face recognition technology for Face DNA test continues to advance quickly, and its applications are expanding. Facial recognition technology, when used properly, can significantly alter our lives and how we encounter various experiences.