Abstract
This chapter presents methods for character segmentation from text lines and recognition of video characters. It is noted that character segmentation from video text lines detected by video text detection method is not as easy as segmenting characters from scanned document images due to low resolution and complex background of video. This chapter presents a method for word segmentation based on the combination of Fourier and moments. Then, the segmented words are used for character segmentation using top and bottom profile features of the words. This chapter also presents a method which does not require words for character segmentation. Instead, it segments character from text lines directly by exploring gradient vector flow (GVF) for identifying the space between words. Further, this chapter introduces a recognition method without the use of an OCR engine. The method proposes structural features based on eight-directional sectors to facilitate character recognition y calculating representatives for each class of the characters.
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References
OCR Engine used: http://code.google.com/p/tesseract-ocr/
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Lu, T., Palaiahnakote, S., Tan, C.L., Liu, W. (2014). Character Segmentation and Recognition. In: Video Text Detection. Advances in Computer Vision and Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-4471-6515-6_6
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DOI: https://doi.org/10.1007/978-1-4471-6515-6_6
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