We introduce a new image dataset for Irish Sign Language (ISL) recognition. We filmed human subjects performing ISL hand-shapes and movements, resulting in 468 videos. Then, we extracted frames from the videos. This resulted in a total of 58,114 images for the 23 common hand-shapes from the ISL language. This dataset is a part of our ongoing work on ISL recognition using pattern recognition methods. In addition to the dataset, we report experiments using Principal Component Analysis (PCA) where we reached 95% recognition accuracy.