Detection of player identity is challenging task in sport video content analysis. In case of soccer video player number recognition is effective and precise solution. Jersey numbers can be considered as scene text and difficulties in localization and recognition appear due to variations in orientation, size, illumination, motion etc. This paper proposed new method for player number localization and recognition. By observing hue, saturation and value for 50 different jersey examples we noticed that most often combination of low and high saturated pixels is used to separate number and jersey region. Image segmentation method based on this observation is introduced. Then, novel method for player number localization based on internal contours is proposed. False number candidates are filtered using area and aspect ratio. Before OCR processing extracted numbers are enhanced using image smoothing and rotation normalization., {"references":["A. Kokaram et al., \"Browsing sports video\", Signal Processing\nMagazine, IEEE, Vol 23, issue 2, pp. 47-58, March 2006.","K. Jung, K. I. Kim and A. K. Jain, \"Text information extraction in\nimages and video: a survey\", Pattern Recognition,Volume 37, number 5,\npp. 977-997, May 2004.","Q. Ye, Q. Huang and S. Jang. \"Jersey number detection in sports video\nfor athlete identification.\", Proc. of VCIP, July 2005.","M. Bertini, A. D. Bimbo and W. Nunziati, \"Player identification in\nsoccer videos\", MIR '05: Proceedings of the 7th ACM SIGMM\ninternational workshop on Multimedia information retrieval, pp. 25-32,\n2005.","P. Viola and M. Jones. \"Rapid object detection using a boosted cascade\nof simple features\", Proceedings of CVPR, pp. 511-518, 2001.","M. Bertini, A. D. Bimbo and W. Nunziati, \"Matching faces with textual\ncues in soccer videos\", Multimedia and Expo, 2006 IEEE International\nConference on Volume , Issue , 9-12, pp. 537 - 540, July 2006.","E. L. Andrade Neto, E. Khan, J. C. Woods and M. Ghanbari, \"Player\nclassification in interactive sport scenes using prior information region\nspace analysis and number recognition\", IEEE International Conference\non Image Processing (ICIP) 2003, Barcelona, Spain, vol. III, pp. 129-\n132, September 2003.","M. Bertini et al., \"Sports video annotation using enhanced hsv\nhistograms in multimedia ontologies\", Image Analysis and Processing\nWorkshops, 2007, ICIAPW 2007, 14th International Conference on, pp.\n160-170, Sept. 2007.","Open Source Computer Vision Library (Online). Available:\nwww.intel.com/technology/computing/opencv/\n[10] M. Sonka, V. Hlavac and M. Boyle, Image Processing, Analysis, and\nMachine Vision, Thomson-Engineering; 3 edition, 2007."]}