摘要: Pattern Matching is useful for recognizing character in a digital image. Optical Character Recognition (OCR) is one such technique which reads character from a digital image and recognizes them. Line segmentation is initially used... 展开 Pattern Matching is useful for recognizing character in a digital image. Optical Character Recognition (OCR) is one such technique which reads character from a digital image and recognizes them. Line segmentation is initially used for identifying character in an image and later refined by morphological operations like binarization, erosion, thinning etc. The work discusses a recognition technique that defines a set of morphological operators based on its orientation in a character. These operators are further categorized into groups having similar shape but different orientation for efficient utilization of memory. Finally the characters are recognized in accordance with the occurrence of frequency in hierarchy of significant pattern of those morphological operators and by comparing them with the existing database of each character. 收起