Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: As the rapid growth of PDF documents, recognizing the document structure and components are useful for document storage, classification and retrieval. Table, a ubiquitous document component, becomes an important information source. Accurately detecting the table boundary plays a crucial role for many applications, e.g., the increasing demand on the table data search. Rather than converting PDFs to image or HTML and then processing with other techniques (e.g., OCR), extracting and analyzing texts from PDFs directly is easy and accurate. Hover, text extraction tools face a common problem: text sequence error. ,  propose two algorithms to recover the sequence of extracted sparse lines, which improve the table content collection. The experimental results show the comparison of the performance of both algorithms, and demonstrate the effectiveness of text sequence recovering for the table boundary detection.
['Ying Liu', 'Kun Bai', 'Prasenjit Mitra', 'C. Lee Giles']
I am writing a research paper on a idea Improving the Table Boundary Detection in PDFs by Fixing the Sequence Error of the Sparse Lines
[{"from": "human", "value": "I am writing a research paper on a idea Improving the Table Boundary Detection in PDFs by Fixing the Sequence Error of the Sparse Lines"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: As the rapid growth of PDF documents, recognizing the document structure and components are useful for document storage, classification and retrieval. Table, a ubiquitous document component, becomes an important information source. Accurately detecting the table boundary plays a crucial role for many applications, e.g., the increasing demand on the table data search. Rather than converting PDFs to image or HTML and then processing with other techniques (e.g., OCR), extracting and analyzing texts from PDFs directly is easy and accurate. Hover, text extraction tools face a common problem: text sequence error. ,  propose two algorithms to recover the sequence of extracted sparse lines, which improve the table content collection. The experimental results show the comparison of the performance of both algorithms, and demonstrate the effectiveness of text sequence recovering for the table boundary detection."}]