An HMM-Based Approach for Off-Line Unconstrained Handwritten Word Modeling and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Holistic Verification of Handwritten Phrases
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation of the Date in Entries of Historical Church Registers
Proceedings of the 24th DAGM Symposium on Pattern Recognition
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For being able to automatically acquire information recorded in church registers and other historical scriptures, the text of such documents needs to be segmented prior to automatic reading. Segmentation of old handwritten scriptures is difficult for two main reasons. Lines of text in general are not straight and ascenders and descenders of adjacent lines interfere. The algorithms described in this paper provide ways to reconstruct the path of the lines of text using an approach of gradually constructing line segments until an unique line of text is formed. The method was applied to church registers. They were written by different people in different styles between the 17th and 19th century. Line segmentation was found to be successful in 95% of all samples.