Motion images are now available everywhere due to the technological advancements and the growing demand for engaging content in social media and communication. The motion images offer better user experience and allow for more effective storytelling and interaction in a visually driven digital landscape. The features from the motion images can be utilized for biometric security, healthcare, and beyond if extracted with high degree of accuracy. This study proposed a novel framework for iris features extraction from a sequence of motion image. The method entails capturing and analyzing iris features while the subject's eye is in motion. The proposed framework has 4 stages: preprocessing, image segmentation, graph representation and features extraction.