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Generate the 200-dimensional feature vector for each ER to prepare the ER for character classification.
1.) Normalize to 35 x 35, preserving aspect ratio and centroid
2.) Split into 8 bit maps where each bit map corresponds to orientations of boundary pixels
3.) Apply Gaussian blurring
4.) Vectorize
From "A Method for Text Localization and Recognition in Real-World Images", Section 3.5.
The text was updated successfully, but these errors were encountered:
Generate the 200-dimensional feature vector for each ER to prepare the ER for character classification.
1.) Normalize to 35 x 35, preserving aspect ratio and centroid
2.) Split into 8 bit maps where each bit map corresponds to orientations of boundary pixels
3.) Apply Gaussian blurring
4.) Vectorize
From "A Method for Text Localization and Recognition in Real-World Images", Section 3.5.
The text was updated successfully, but these errors were encountered: