Automatic detection and recognition of Korean text in outdoor signboard images
Pattern Recognition Letters
Hi-index | 0.10 |
A method for handprinted Kanji character classificatin is proposed in this paper. After extraction of directional line segments and partitioning of the character frame area, a feature vector that represents the distribution of strokes is generated and is matched with average vectors in a dictionary.