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Latin and Chinese character outlines as means of extracting features

Multi-lingual Optical Character Recognition Seminar

Latin and Chinese character outlines as means of extracting features
Series: Multi-lingual Optical Character Recognition Seminar
Location: ENR2 S375
Presenter: Marek Rychlik, UofA Mathematics

An important idea of OCR present in Tesseract and research papers is that character outlines are the source of features for character classification. We will discuss Fourier transform and splines as means of smoothing and approximating character boundaries. An inherent instability due to character damage will be described, and ways to address it.