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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 [4] | Laxmidevi Noolvi [2]
Abstract: 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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Research Paper, Computer Science & Engineering, India, Volume 12 Issue 8, August 2023
Pages: 509 - 514Enhancing Lung Cancer Detection with Deep Learning: A CT Image Classification Approach
Jeevika K S | Dr. Savitha S K
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Analysis Study Research Paper, Computer Science & Engineering, India, Volume 13 Issue 1, January 2024
Pages: 805 - 811Predicting the Energy Efficiency in Wireless Sensor Networks using LSTM and Random Forest Method
Aruna Reddy H. | Shivamurthy G. | Rajanna M.