Annotation-Free Word Spotting with Bag-of-Features HMMs
نویسندگان
چکیده
منابع مشابه
Lexicon-free handwritten word spotting using character HMMs
For retrieving keywords from scanned handwritten documents, we present a word spotting system that is based on character Hidden Markov Models. In an efficient lexicon-free approach, arbitrary keywords can be spotted without pre-segmenting text lines into words. For a multi-writer scenario on the IAM off-line database as well as for two single writer scenarios on historical data sets, it is show...
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For the transition from traditional to digital libraries, the large number of handwritten manuscripts that exist pose a great challenge. Easy access to such collections requires an index, which is currently created manually at great cost. Because automatic handwriting recognizers fail on historical manuscripts, the word spotting technique has been developed: the words in a collection are matche...
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ژورنال
عنوان ژورنال: International Journal of Pattern Recognition and Artificial Intelligence
سال: 2020
ISSN: 0218-0014,1793-6381
DOI: 10.1142/s0218001421530013