Model Type Recognition Using De-interlacing and Block Code Generation

This paper presents a method that automatically recognizes the shoe’s outsole products into model type, which flows through the conveyor belts from right to left. The interlaced pixels are displayed when we use the NTSC based camera in experiments. So, we require a suitable post-processing. For the purpose of this processing, it decides to find rectangle region of object by thresholding after removing interlaced pixels using de-interlacing method. And then, after rectangle region is separated into blocks through edge detection, we calculates pixel number per each block, re-classifies using its average, and classifies products into model type.