Classification of Bulgarian white brined cheese by manufacturer

This paper presents an application of digital signals processing for automatic classification of Bulgarian white brined cheese by manufacturer. The information for cheese samples is received using ultrasound signal and Discrete Wavelet Transformation (DWT). Eight classes are defined for samples of eight brands white sheep cheese in brine. The kNN classifier is used for recognition the samples as objects of different classes. The generalized error by cheese samples classification is below 1%.