Spatial-Temporal Feature Extraction for Tanzanian Sign Language Recognition in Medical Diagnostics

Attention-Based LSTM for Sign Language Recognition Leveraging Spatial-Temporal Keypoint

Sign language is a crucial means of communication for the Deaf and hard-of-hearing communities. Most

Amharic Static Alphabet Sign Language Recognition Based on Hybrid Feature Extraction Approach

Sign language is a communication mechanism for hearing-impaired people. Unless hearing individuals l

Towards the extraction of robust sign embeddings for low resource sign language recognition

Isolated Sign Language Recognition (SLR) has mostly been applied on datasets containing signs execut

Krawtchouk moment feature extraction for neural Arabic handwritten words recognition

A Hybridized Feature Extraction Model for Offline Yorùbá Document Recognition

Document recognition is required to convert handwritten and text documents into digital equivalents,

Efficient spatio-temporal modeling for sign language recognition using CNN and RNN architectures

Computer vision has been identified as one of the solutions to bridge communication barriers between