A New Approach for Sentence Recognition Using Multiple Features
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Research Paper | Computer Science & Engineering | India | Volume 3 Issue 8, August 2014

A New Approach for Sentence Recognition Using Multiple Features

Shruthi Shri.D, Dr. Jharna Majumdar, Laxmidevi Noolvi

This paper presents the work towards recognition of sentence by using segmentation based on Bounding box for character recognition. After segmentation various variant and invariant features are extracted like Correlation method, Shadow feature, Horizontal and Vertical profiling, Chain code and Projection methods which increases the recognition capability of a character. Classification techniques are used for improving the recognition of sentence. Dictionary search for each sentence is performed, after first character is recognized and matched. The recognized sentence is spelled out by the system.

Keywords: Segmentation, Feature Extraction, classification, Character Recognition

Edition: Volume 3 Issue 8, August 2014

Pages: 1155 - 1159

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How to Cite this Article?

Shruthi Shri.D, Dr. Jharna Majumdar, Laxmidevi Noolvi, "A New Approach for Sentence Recognition Using Multiple Features", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=2015690, Volume 3 Issue 8, August 2014, 1155 - 1159

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