MIT researchers believe they've figured out a way to keep facial recognition software from being biased. To do this, they developed an algorithm that knows to scan for faces, but also evaluates ...

Scene text recognition A real-time scene text recognition algorithm. Our system is able to recognize text in unconstrain background. This algorithm is based on several papers, and was implemented in C ...

After the facial recognition software generates a lineup of potential suspects, it ranks candidates based on how similar the algorithm believes the images are.

The Government Is Using the Most Vulnerable People to Test Facial Recognition Software Our research shows that any one of us might end up helping the facial recognition industry, perhaps during ...

This paper develops a specialized drawing data management software to address the challenges of information management and the application of drawing data in industrial production. This software ...

This repository lets you train neural networks models for performing end-to-end full-page handwriting recognition using the Apache MXNet deep learning frameworks on the IAM Dataset. - awslabs/handw ...

Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems. The Face Recognition ...

Facial recognition technology is becoming more common but can sometimes be spoofed by someone wearing a mask, for example. Or images can present other challenges, such as when subjects close their ...

A pilot program between Ryder and Terminal Industries has shown promise in its efforts to automate and optimize warehouse yards by eliminating manual processes. Terminal Industries supplies the AI ...

In this paper, we propose an end-to-end text recognition approach with pre-trained image Transformer and text Transformer models, namely TrOCR, which leverages the Transformer architecture for both ...