Keyword selection from word recognition results using definitional overlap
- State Univ. of New York, Buffalo, NY (United States)
A method is presented to locate a set of potential keywords for a given document in the output of a word recognition algorithm. A clustering step locates words of significant length that occur several times. A word recognition algorithm is applied to these words to generate groups of visually similar alternatives for each image. A simulated annealing algorithm is then used to choose a st of keywords that contains at most one representative from each neighborhood such that an inter-word compatibility measurement is maximized. The compatibility measure is based on the similarity of subject and the definitional overlap of two words as measured by a dictionary. Experimental results are presented that illustrate the ability of the technique to operate in the presence of noise.
- Research Organization:
- Nevada Univ., Las Vegas, NV (United States)
- OSTI ID:
- 68572
- Report Number(s):
- CONF-9404212--
- Country of Publication:
- United States
- Language:
- English
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