Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Over-segmentation is often used in text recognition to generate candidate characters. ,  propose a neural network-based over-segmentation method for cropped scene text recognition. On binarized text line image, a segmentation window slides over each connected component, and a neural network is used to classify whether the window locates a segmentation point or not.  evaluate several feature representations for window classification and combine sliding window-based segmentation with shape-based splitting. Experimental results on two benchmark datasets demonstrate the superiority and effectiveness of our method in respect of segmentation point detection and word recognition.
['Xin He', 'Yi-Chao Wu', 'Kai Chen', 'Fei Yin', 'Cheng-Lin Liu']
I am writing a research paper on a idea Neural network based over-segmentation for scene text recognition
[{"from": "human", "value": "I am writing a research paper on a idea Neural network based over-segmentation for scene text recognition"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Over-segmentation is often used in text recognition to generate candidate characters. ,  propose a neural network-based over-segmentation method for cropped scene text recognition. On binarized text line image, a segmentation window slides over each connected component, and a neural network is used to classify whether the window locates a segmentation point or not.  evaluate several feature representations for window classification and combine sliding window-based segmentation with shape-based splitting. Experimental results on two benchmark datasets demonstrate the superiority and effectiveness of our method in respect of segmentation point detection and word recognition."}]