Animal Stamp Rally Application using Image Recognition Tokushima zoo is a municipal zoo housing a lot of animals for educational purpose. Thus, Tokushima city wants visitors to observe animals as many as possible whilst having fun. The animal stamp rally is a game that visitors collect a series of stamps at around animals which visitors have observed. Not to provide real stamps, tables and stamp cards, we develop an animal stamp rally application. Thanks to the Convolutional Neural Network (CNN), the application can recognize stamps from snapshots of real animals instead of real stamps or QR codes. Additionally, to improve animal recognition accuracy, the application uses GPS information. In this paper, we describes a progress of our development of the animal stamp rally application, and estimates its recognition accuracy.

Characters Verification via Siamese Convolutional Neural Network In the printing and carving industries, it is necessary to check whether printed outputs or carved wares are missing or etched through comparing the drawings. Traditional approaches and identification methods canxe2x80x99t be used for this application where the number of character categories are not determined, and where the character may be unique designed by manufacturer. Driven by the onetoone matching pattern, we propose an endtoend dual input network for automatic comparison, which uses convolutional neural network to extract features from the scanned images which collected from printed matters. Then, we convert the corresponding drawing to the vector of the same dimension to calculate distance and the matchmismatch result. Experiments show that our method can effectively solve the problem of character comparison with many types, and at the same time propose an automated comparing program for the industrial imprinting process.