Title :
Research of Molten Iron Ladles location based on number recognition
Author :
Chong Wu; Ling Xiong; Jianqiao Tang
Author_Institution :
College of Information Science and Engineering, Wuhan University of Science and Technology, China
Abstract :
The information of the Molten Iron Ladles (MIL) plays an important role in the reasonable scheduling for Overhead Traveling Crane (OTC) of steelmaking plant. Currently, to locate the MIL by manual recognition is low efficiency and large workload. For this, a method of the MIL location based on number recognition is proposed in this paper. First, the mathematical morphology is used to locate and extract the character area of the ladles, and then, the vertical projection method is used to segment the character image, finally, the digital character is discerned based on template matching. The results show that the recognition rate reached 96.2% by the above proposed method, which meets the development needs of the data information intelligence in the enterprise.
Keywords :
"Handwriting recognition","Manuals","Wireless LAN","Morphology","Radiofrequency identification","Instruments","Compounds"
Conference_Titel :
Chinese Automation Congress (CAC), 2015
DOI :
10.1109/CAC.2015.7382852