For the deaf and speech-impaired community, sign language serves as a useful tool for everyday interactions. Sign language is a structured form of hand movement that involves visual movement and the use of various body parts namely fingers, hands, arms, head, body, and facial expressions to convey information in the communication process. Hand gesture recognition serves as the key to overcoming many difficulties and providing convenience for human life, especially for the deaf. Communication leads to better understanding among the community, including the deaf. INTRODUCTION The research background is communication is very important in the process of social interaction. The experimental results show that image preprocessing using background correction can improve model performance. The test results show that the proposed model has good performance with an accuracy value of 99%. Finally the process of testing the model using data input of hand sign language images from a web camera. Next, separate the dataset for training and validation respectively 75% and 25%. First, the background correction process is carried out and the input image size is changed to 32×32 pixels using the bicubic interpolation method. This model is trained using the ASL alphabet database which consists of 27 categories, where each category consists of 3000 images or a total of 87,000 hand gesture images measuring 200×200 pixels. The model used is a seven-layer Convolutional Neural Network (CNN). The main contribution of this research is to produce a real-time hand sign language image acquisition, and hand sign language recognition model for Alphabet. This study aims to create a hand sign language recognition model for alphabetic letters using a deep learning approach. Problems occur when communicating between normal people with hearing loss, because not everyone understands sign language, so a model is needed to recognize sign language as well as a learning tool for beginners who want to learn sign language, especially alphabetic sign language.

Each hand sign represents one meaning, but several terms don't have sign language, so they have to be spelled alphabetically. Sign language is a method of communication that uses hand gestures between people with hearing loss.

Bangla language alphabet