Text Detection Model Based on Parallel SVM Algorithm
Abstract
With the development of the computer science and technology, the advanced algorithm rapidly develops in the field of the text detection and recognition and reduction. However, how to establish a model to be faster and more accurate access to more complex variants or the texts with missing information is to be solved urgently. In this paper, MATLAB parallel computing toolbox is applied to develop the parallel SVM.And this paper improves the operational efficiency through the distributed algorithm and selects the appropriate algorithm parameters to improve the accuracy of the model detection through cross validation. Based on the parallel MATLAB platform of multiple computers, this paper carries out a simulation test and concludes that the accuracy of the complex text detection is 98%. This paper establishes a text detection model that has a high accuracy and a high robustness even in a complex background.
Keywords
big data; parallel computing; SVM text detection
DOI
10.12783/dtcse/iccae2016/7178
10.12783/dtcse/iccae2016/7178
Refbacks
- There are currently no refbacks.