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I have a dataset of 100 ID's, each ID with only a single unique face image. How can I develop an effective face recognition system to recognise only these faces?

I was thinking Deep Learning but the dataset is so sparse. It would be 100 classes each with a single data point (the image).

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You can apply transfer learning. Leverage one of the existing datasets and deep learning networks that can classify faces e.g. celebrities.

Add/remove layers on top of the feature extraction layers and use your small data set. Provided that the base dataset / network is large and rich enough you should be able to apply it to your dataset.

See https://cs231n.github.io/transfer-learning/

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