Indexing and retrieval of on-line handwritten documents
Recent advances in on-line data capturing technologiesand its widespread deployment in devices like PDAsand notebook PCs is creating large amounts of handwrittendata that need to be archived and retrieved efficiently.Word-spotting, which is based on a direct comparison ofa handwritten keyword to words in the document, is commonlyused for indexing and retrieval. We propose a stringmatching-based method for word-spotting in on-line documents.The retrieval algorithm achieves a precision of92.3% at a recall rate of 90% on a database of 6,672 wordswritten by 10 different writers. Indexing experiments showan accuracy of 87.5% using a database of 3,872 on-linewords.