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final recognition
Considerable improvement has been observed, and the final recognition rate of this system ranges from 95.54 to 99.11% with a reliability of 99.54 to 99.11%.
      
The final recognition system consists of a cascade association of small MLPs, which allows minimization of the overall recognition time while retaining a high recognition rate.
      
The final recognition is achieved by employing a number of 2-class classifiers based on the Support Vector Machine (SVM) method.
      
Final recognition is accomplished by a secondary stage which performs local analysis on the characters in each primary category.
      
After all sets, a brief distractor task and final recognition task using both old and new images were com pleted.
      
All movements compliant to these rules are passed to the classification module, which performs the final recognition task.
      
The final recognition result is obtained by the majority decision of the four selected classifiers.
      
The final recognition result was the average of the two results.
      
The labeler produces a vector of class labels that is used to produce the final recognition results.
      
The phrase corresponding to this path is the final recognition result.
      
The ratio of values p1 and p0 affected the final recognition rate.
      
 

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