Vectorial signatures for invariant recognition of position, rotation and scale pattern recognition

摘要

We investigate the development and utilization of vectorial signatures obtained from the application of properties of the scale and Fourier transform for images recognition. The signatures were applied to different input scenes. In order to find a new invariant digital system two one-dimensional vectors were calculated to achieve different mathematical transformations in the target as well as in the input scene. To recognize a target, signatures were compared, calculating the Euclidean distance between the target and the input scene. These sets are generated from two sources: alphabetical letters in Arial type and digital images of seven different copepod species. Considering the great similarity between the copepod species used in this work and between the male and female of each species the results obtained are very good.