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Research Paper | Computer Science & Engineering | India | Volume 3 Issue 8, August 2014 | Rating: 6.4 / 10
Recognition of Word using different Feature Extraction Methods
Kavita Babalad, Laxmidevi Noolvi, Dr. Jharna Majumdar
Abstract: Word Recognition is one of the most interesting and challenging research areas in the field of image processing. In this paper, we are presenting a printed Word Recognition method, where we segment each character from the word. For segmented character each invariant features like line segments, different types of line segments, normalized horizontal and vertical line, crossing, distances and moment of inertia are been extracted. The clustering methods are used for recognition. The recognized word is spelled out by the system.
Keywords: Pre-processing, Segmentation, Feature Extraction, Recognition and Clustering method
Edition: Volume 3 Issue 8, August 2014,
Pages: 561 - 566