The sign language is principal way to communicate with deafs people which is often far superior to their ability to read and write, it is a non-phonetic language that deaf people use to communicate with each other. There are many studies of different sign languages for example American, Indian, Bengali, Chinese and others, but each country has its own sign language. We did extensive research about Arabic studies for sign lan- guage and we found many problems about Arabic studies and there are no studies about Saudi Sign Language (SSL). This research presents Saudi Sign Language Recognition System (SSLRS) by using the Saudi dictionary issued by the Saudi Association for the Deaf and Hard of Hearing in 2018. This research is not dependent on use any gloves or visual markings to accomplish the recognition job. As an alternative, it deals with images of bare hands which allows the user to interact with the system in a natural way. We build dataset of 27,301 for 40 classes then develop model to recognition was accuracy 97.69% for training data, accuracy 99.47% for validation data and 88.67% for recognition rate. Therefore, we develop two systems prototype one application for mobile app another desktop application.