The Application of Local Linear Neuro Fuzzy Model in Recognition of Online Persian Isolated Characters

摘要：

In this paper, we propose an approach for recognizing online Persian isolated characters using LLNF model. Local Linear Neuro Fuzzy (LLNF) Model is a powerful approach for classification tasks. It uses divide-and-conquer strategy to partition the problem space into sub-problems and construct Local Linear Models (LLMs). In order to classify the characters, at first, we extract some generic features of Persian character and build a features vector. Then we construct a LLNF model by the features vector as input data. The constructed LLNF model will be later used to recognize the written letters. Our experimental results for 100 different people show recognition rate of 99.15％.

关键词： Local LinearNeuro-Fuzzy model LLNF Online handwriting recognition feature extraction persian character

作者: Koorosh Samimi Daryoush Maryam Khademi Alireza Nikookar Aida Farahani

作者单位: Islamic Azad University, South Tehran BranchTehran, Iran Young Researchers ClubIslamic Azad University, South Tehran BranchTehran, Iran Young Researchers Club Islamic Azad University, South Tehran Branch Tehran, Iran

会议类型: 国际会议

会议名称: 2010 3rd International Conference on Advanced Computer Theory and Engineering(2010年第三届先进计算机理论与工程国际会议 ICACTE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）