Publication | Closed Access
Recognition of rotated characters by Eigen-space
27
Citations
4
References
2005
Year
Unknown Venue
Image AnalysisMachine VisionRepresentation TheoryGeometryPattern RecognitionEngineeringBiometricsOptical Character RecognitionText RecognitionPattern Recognition ApplicationMorphologyEducationComputer ScienceEnglish AlphabetCharacter RecognitionLinguisticsEigen Sub-spaceRotated Characters
In this paper, we present a method of recognizinginclined, rotated characters. First we construct an eigensub-space for each category using the covariance matrixwhich is calculated from a sufficient number of rotatedcharacters. Next, we can obtain a locus by projectingtheir rotated characters onto the eigen sub-space andinterpolating between their projected points. An unknowncharacter is also projected onto the eigen sub-space ofeach category. Then, the verification is carried out bycalculating the distance between the projected point ofthe unknown character and the locus. In our experiment,we obtained quite good results for the CENTURY font of26 capital letters of the English alphabet (A, B, .... ,Z).This method has the added advantage of obtaining therecognition result (category) and angle of inclination atthe same time
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