Efficient Object Recognition Using Color
A real-time prototype system for identifying soda cans uses histogram indexing with only 16 colors, with excellent results. The final implementation identified cans almost perfectly, even on public display with many people attempting to fool it. Results from preliminary versions are presented, with a complete description of the circumstances used in training and testing the system. The final system required only 1.8 kilobytes of storage space for the database, 37 kilobytes of space for the program, and 70 milliseconds to process each image, proving its suitability for implementation on an autonomous