Partition-based feature extraction is widely used in the pattern recognition and computer vision. This method is robust to some changes like occlusion, background, etc. In this article, a partition-based technique is used for feature extraction and extension of HMM is used as a classifier. The...

With a wide variety of big data applications, Sign Language Recognition has become one of the most important research areas in the field of human-computer interaction. Despite recent progresses, the task of classifying finger spelling is still very challenging in Sign Language Recognition. The...