期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2011
卷号：4
期号：1
出版社：SERSC
摘要：This paper proposes a new classification method for Farsi handwritten word recognition using a scale invariant gradient based features. The extracted feature vectors classified using MLPs. Outputs of MLPs are then combined by Decision Templates. The experiments were achieved using the Iranshahr dataset. This dataset consist of 780 samples of 30 city names of Iran which 600 samples for train and 180 samples for test was used. A set of experiments were conducted to compare Decision Templates with some combination rules. Results show that template based fusion method is superior to the other schemes
关键词：Farsi handwritten word recognition; Feature extraction; Classifier fusion; ;Decision Templates
