# American Sign Language Alphabet Recognition using Deep Learning

arXiv: https://arxiv.org/abs/1905.05487 · HTML: https://mlsanity.com/paper/1905.05487/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 14 May 2019.

## Built on by (most cited first, 1 of 1)

- [Pose-Guided Sign Language Video GAN with Dynamic Lambda](https://mlsanity.com/paper/2105.02742/) (2021)

## Abstract (arXiv)

Tremendous headway has been made in the field of 3D hand pose estimation but the 3D depth cameras are usually inaccessible. We propose a model to recognize American Sign Language alphabet from RGB images. Images for the training were resized and pre-processed before training the Deep Neural Network. The model was trained on a squeezenet architecture to make it capable of running on mobile devices with an accuracy of 83.29%.