Engraved Character Recognition of Train Wheelset Based on the Total Least Square Method
According to the characteristics of depth information of the engraved characters and the lack of color difference to the background, a line structured light sensor was applied to acquire train wheelset engraved character point cloud information. The total least square method was proposed for a 3D character point cloud processing method, in which the observation vector error and the coefficient matrix error are taken into account. According to the standard deviation of the point cloud data, abnormal points and engraved character points can be eliminated for plane fitting. A high-quality outline of the character information can be extracted from the character point cloud depth data.
KeywordsEngraved character recognition Total least square method Train wheelset Line structured light
This work was supported by the Jilin province science and technology development-funding project. The title of the research project is Online Inspection Key Technology Research for the Train Wheelset Manufacture Quality, and the project serial number is: 20160204005GX.
- 1.Berchmans D,Kumar SS (2014) Optical character recognition:an overview and an insight. In: International Conference on Control,Instrumentation,Communication and Computational Technologies (ICCICCT)Google Scholar
- 3.Matei O, Pop PC, Vǎlean H et al (2013) Optical character recognition in real environments using neural networks and k-nearest neighbor. Appl Intell Int J Artif Intell Neural Netw Comp Prob-Solv Technol 39(4):739–748Google Scholar
- 4.Vikramdeep Singh R, Randhawa N (2014) Automobile number plate recognition and extraction using optical character recognition. Int J Sci Technol Res 3(10):37–39Google Scholar
- 5.Lu J, Ye, Z, Zou Y et al (2013) Huber fractal image coding based on a fitting plane. IEEE Trans Image Process 22(1):134–145Google Scholar
- 12.Petrášl Ivo, Bednárová D (2010) Total least squares approach to modeling: a matlab toolbox. Acta Montan Slovaca Ročník 15(2):158–170Google Scholar
- 13.Muñoz LR, Villanueva MG, Suárez CG (2014) A tutorial on the total least squares method for fitting a straight line and a plane. In: International congress on mechanical and electric engineering, 1 al 4 de Diciembre del 2014. Coatzacoalcos, Veracruz, MexicoGoogle Scholar
- 14.Markovsky I, Sima DM, Van Huffel S (2009) Total least squares methods, Wiley Inc. WIREs Comp Stat 2010, 2:212–217Google Scholar