Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  discusses sampling intervals of two-dimensional Gabor features in the two-dimensional pattern, orientation angle, and logarithmic frequency domains. The discussion on the feature stabilities for basic image transformations clarifies the stable range for translation, rotation and scaling. These stable ranges directly lead to sampling intervals for the individual feature domains. Multi-resolution features are constructed in terms of the combination of elements optimally sampled in the feature domains. The features of the optimal sampling intervals are examined in printed Japanese character recognition. The optimal sampling intervals maximize recognition rates at the same time as keeping computational cost low.
['Keiji Yamada']
I am writing a research paper on a idea Optimal sampling intervals for Gabor features and printed Japanese character recognition
[{"from": "human", "value": "I am writing a research paper on a idea Optimal sampling intervals for Gabor features and printed Japanese character recognition"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  discusses sampling intervals of two-dimensional Gabor features in the two-dimensional pattern, orientation angle, and logarithmic frequency domains. The discussion on the feature stabilities for basic image transformations clarifies the stable range for translation, rotation and scaling. These stable ranges directly lead to sampling intervals for the individual feature domains. Multi-resolution features are constructed in terms of the combination of elements optimally sampled in the feature domains. The features of the optimal sampling intervals are examined in printed Japanese character recognition. The optimal sampling intervals maximize recognition rates at the same time as keeping computational cost low."}]