A method identifies a non-identified baggage item based on: acquisition of at least two images of the non-identified baggage of different types, the type of one image of a baggage item dependant on a point-of-view on the baggage in the image and/or on the nature of the data representing the baggage in the image taken among different natures of data comprising data representing the visible range and/or infrared data and/or data representing three-dimensional information; and, for each image type, on use of a neural network suited to the type for classifying the baggage represented by the image in a class of baggage classes defined for the type. Once obtained, the classes allow seeking of baggage corresponding to each class identified in a baggage database. Each baggage item in the database is associated with the baggage addressee. Each corresponding baggage item is compared with the non-identified baggage to identify the addressee.