A Review on Geometrical Analysis in Character Recognition
TL;DRAbstract
Character Recognition is a prominent area in the field of image processing. Most of the basic concepts in image processing have been introduced in connection with research carried out in character recognition. Character recognition is still an active field of research and till now it has not acquired sufficient recognition efficiency. Character recognition is used in areas like postal address identification, mail sorting, and bank cheque processing and person identification. In this paper, we have provided a review on existing methods for handwritten character recognition based on geometrical properties of the character. The efficiency of the character recognition is depends on the appropriate preprocessing and feature extraction method. Handwritten character recognition is a difficult task because the handwriting is varying from person to person.
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Character Recognition is a prominent area in the field of image processing. Most of the basic concepts in image processing have been introduced in connection with research carried out in character recognition. Character recognition is still an active field of research and till now it has not acquired sufficient recognition efficiency. Character recognition is used in areas like postal address identification, mail sorting, and bank cheque processing and person identification. In this paper, we have provided a review on existing methods for handwritten character recognition based on geometrical properties of the character. The efficiency of the character recognition is depends on the appropriate preprocessing and feature extraction method. Handwritten character recognition is a difficult task because the handwriting is varying from person to person.
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