Abstract：A systematic frame for retrieving Mongolian Kanjur images by word spotting technology was designed. Some features including profile feature, projection feature and back-to-ink transition were adopted to represent Mongolian word images by deeply analyzing characteristics of handwritten Mongolian word images. By doing a lot of comparison experiments on the dataset with 5500 word images, the best combination of features was determined. Meanwhile, the Mean Average Precision (MAP) of about 78.79% was achieved and the R-Precision 73.01%. The experimental results show that the selective features are valid and effective.
2011, Vol. 31 
