Integral robust features based technique for optical identification of railway vehicles
Identification of railway vehicles is relevant for the conversion from automatic control systems with manual data input to automatic modeling environment of train and vehicle. The most effective and economic inventory number recognition is optical recognition. But there is question about veracity in such technology. This paper represent the qualitatively new approach for optical recognition based on building integral robust constructive features of vehicles and allowed to significantly increase level of recognition veracity. Proposed technique investigated in introduction subject of automatic vehicle number recognition system (ARNV). Computational experiments demonstrated relevance of proposed technique for using in optical recognition of vehicle numbers.