Suppose that we have a fingerprint database consisting of 1000 images from 100 persons (10 images per person), and it is required to design a system to identify the person from his fingerprint image. I know that there is a difference between identification and classification, but can we treat the identification problem as a classification problem by setting the number of classes to be equal to the number of persons (100 in this case)? I know that the identification accuracy is the metric used for assessing the performance of identification systems. For the classification problem, other metrics such as precision, recall and F1 score can be used, in addition to accuracy. Can we use these metrics with the identification problem or not? Is the accuracy the only metric that be used with the identification problem?