FEATURE EXTRACTION FOR CHARACTER RECOGNITION
The m-files inside this zip file extracts features of single characters of english language based on their geometric properties from the input image. Two approaches are explained for extracting feature vectors. The final feature vector generated for my purpose had more 120 elements. The features are based on the basic geometric shapes that comprises a single character. It calculates how many basic line segments are there in the given character. Basic line segments like horizontal, vertical and diagonal are what looked for. Their length and area normalized to the entire image are used as features. The number of holes in a image is another feature. SImilar properties are used for feature extraction.
The algorithm used for this work is written and uploaded at
http://arxiv.org/abs/1202.3884
A set of sample images I used for feature extraction has been given here
Cite As
Dinesh Dileep Gaurav (2024). FEATURE EXTRACTION FOR CHARACTER RECOGNITION (https://www.mathworks.com/matlabcentral/fileexchange/24624-feature-extraction-for-character-recognition), MATLAB Central File Exchange. Retrieved .
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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox >
- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation > Text Detection and Recognition >
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Acknowledgements
Inspired: HAND-DRAWN SAMPLE IMAGES OF ENGLISH CHARACTERS, Music Note Recogination
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