Correlation methods of OCR algorithm for traffic sign detection implementable in microcontrollers

Advances in Intelligent Systems and Computing

Volumn 189 AISC, Issue , 2013, Pages 381-389

  Hercik, Radim ^a   Slaby, Roman ^a   MacHacek, Zdenek ^a   Koziorek, Jiri ^a  

^a VSB TECHNICAL UNIVERSITY OF OSTRAVA   (Czech Republic)

Author keywords

correlation method; image processing; OCR algorithm; Statistical method

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; IMAGE PROCESSING; MICROCONTROLLERS; OPTICAL CHARACTER RECOGNITION; SOFT COMPUTING; STATISTICAL METHODS; TRAFFIC SIGNS;

CAMERA SYSTEMS; DEGREE OF SIMILARITY; EXPLORATORY STATISTICS; INPUT IMAGE; INPUT MATRICES; OUTPUT DATA; PATTERN MATRIX; RECOGNITION SYSTEMS; SEGMENTATION METHODS; SPEED LIMIT; TRAFFIC SIGN DETECTION;

CORRELATION METHODS;

EID: 84868156157     PISSN: 21945357     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-33018-6_39     Document Type: Conference Paper

References (6)

1. Ozana, S., Machacek, Z.: Implementation of the Mathematical Model of a Generating Block in Matlab&Simulink Using S-functions. In: The Second International Conference on Computer and Electrical Engineering ICCEE. Session 8, pp. 431-435 (2009)
2. Hlavac, V., Sedlacek, M.: Zpracování signálu a obrazu, 255 p. BEN, Praha (2007) ISBN 978-80-01-03110-0
3. Gibson, J.D.: Handbook of Image & Video Processing, 891 p. Academic Press, London (2000)
4. Machacek, Z., Hercik, R., Slaby, R.: Smart User Adaptive System for Intelligent Object Recognizing. In: Nguyen, N.T., Trawiński, B., Jung, J.J. (eds.) New Challenges for Intelligent Information and Database Systems. SCI, vol. 351, pp. 197-206. Springer, Heidelberg (2011)
5. Bris, R.: Exploratorní analýza proměnných. Ostrava. Scriptum. VŠB-Technical University of Ostrava
6. Krejcar, O., Jirka, J., Janckulik, D.: Use of Mobile Phone as Intelligent Sensor for Sound Input Analysis and Sleep State Detection. Sensors 11, 6037-6055 (2011)