FEATURE EXTRACTION FOR CHARACTER RECOGNITION

Version 1.5.0.0 (221 ko) par Dinesh Dileep Gaurav
EXTRACTS FEATURE VECTORS FROM SINGLE CHARACTER IMAGES
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Mise à jour 20 fév. 2012

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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

http://www.mathworks.com/matlabcentral/fileexchange/26158-hand-drawn-sample-images-of-english-characters

Citation pour cette source

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. Récupéré le .

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feature_extraction/feature_extraction/

Version Publié le Notes de version
1.5.0.0

Updated documentation
1.4.0.0

Updated about the set of sample images
1.2.0.0

Added a test run file
1.1.0.0

README file in pdf format has been included
1.0.0.0