Fingerprint classification is a method of reducing the number candidates needed by fingerprint recognition systems to determine if picture matches one in database. Deep learning has gained lot attraction recent decade including natural language processing, digital image speech recognition, handwritten digit medical assessments, and so on. The subject this paper explore factors affecting using c...

In this study, we propose a tomato maturity estimation approach based on deep neural network. Tomato images were obtained using an RGB camera installed monitoring robot and samples cropped to generate dataset with which train the classification model. The model is trained cross-entropy loss mean–variance loss, can implicitly provide label distribution knowledge. For continuous in test stage, ou...