The Community for Technology Leaders
Green Image
Issue No. 02 - February (1979 vol. 1)
ISSN: 0162-8828
pp: 184-193
Rajjan Shinghal , MEMBER, IEEE, Department of Computer Science, Concordia University, Montreal, P.Q., Canada.
Godfried T. Toussaint , MEMBER, IEEE, School of Computer Science, McGill University, Montreal, P.Q., Canada.
In this paper a modification of the Viterbi algorithm is formally described, and a measure of its complexity is derived. The modified algorithm uses aheuristic to limit the search through a directed graph or trellis. The effectiveness of the algorithm is investigated via exhaustive experimentation on an input of machine-printed text. The algorithm assumes language to be a Markov chain and uses transition probabilities between characters. The results empirically answer the long-standing question of what is the benefit, if any, of using transition probabilities that depend on the length of a word and their position in it.
Text recognition, Viterbi algorithm, Dictionaries, Costs, Computer science, Error correction, Councils, Probability, Decoding, Dynamic programming,text recognition, Computational complexity, contextual information, cost, feature vector, N-gram probabilities, probability of misclassification
Rajjan Shinghal, Godfried T. Toussaint, "Experiments in Text Recognition with the Modified Viterbi Algorithm", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 1, no. , pp. 184-193, February 1979, doi:10.1109/TPAMI.1979.4766904
195 ms
(Ver 3.3 (11022016))