Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Many techniques have been reported for handwriting-based writer identification. Most techniques assume that the written text is fixed (e.g., in signature verification).   attempt to eliminate this assumption by presenting a novel algorithm for automatic text-independent writer identification. Given that the handwriting of different people can often be visually distinctive,  take a global approach based on texture analysis, where each writer's handwriting is regarded as a different texture. In principle this allows us to apply any standard texture recognition algorithm for the task (e.g., the multichannel Gabor filtering technique). Results of 95.0% accuracy on the classification of 300 test documents front 20 writers are very promising. The method is shown to be robust to noise and contents.
['H. E. S. Said', 'Keith D. Baker', 'Tao Tan']
I am writing a research paper on a idea Personal identification based on handwriting
[{"from": "human", "value": "I am writing a research paper on a idea Personal identification based on handwriting"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Many techniques have been reported for handwriting-based writer identification. Most techniques assume that the written text is fixed (e.g., in signature verification).   attempt to eliminate this assumption by presenting a novel algorithm for automatic text-independent writer identification. Given that the handwriting of different people can often be visually distinctive,  take a global approach based on texture analysis, where each writer's handwriting is regarded as a different texture. In principle this allows us to apply any standard texture recognition algorithm for the task (e.g., the multichannel Gabor filtering technique). Results of 95.0% accuracy on the classification of 300 test documents front 20 writers are very promising. The method is shown to be robust to noise and contents."}]