Vietnamese handwritten character recognition by combining SVM classifers
نویسندگان
چکیده
منابع مشابه
Speeding Up Isolated Vietnamese Handwritten Recognition by Combining SVM and Statistical Features
Based on SVMs (Support Vector Machines) classification where statistical features are extracted, this paper proposes an efficient recognition model for isolated Vietnamese handwritten character recognition. We apply combining reduced set method and dimension reduction of input feature vectors to improve the speed of recognition model. Our test results over Vietnamese handwriting with 52,485 cha...
متن کاملSVM Based Offline Handwritten Gurmukhi Character Recognition
Support Vector Machines (SVMs) have successfully been used in recognizing printed characters. In the present work, we have used this classification technique to recognize handwritten characters. Recognition of handwritten characters is a difficult task owing to various writing styles of individuals. A scheme for offline handwritten Gurmukhi character recognition based on SVMs is presented in th...
متن کاملCombining SVM Classifiers for Handwritten Digit Recognition
In this paper, we investigate the advantages and weaknesses of various decision fusion schemes using statistical and rule-based reasoning. The cooperation schemes are applied on two SVM (Support Vector Machine) classifiers performing classification task on two feature families referenced as structural and statistical features. The obtained results show that it is difficult to exceed the recogni...
متن کاملHandwritten Devnagari Character Recognition using Curvelet Transform and SVM Recognizer
This paper deals with automatic recognition of offline handwritten Devanagari characters. Though Devnagari is the script for Hindi, which is the official language of India, its character recognition poses great challenges due to large variety of symbols and their proximity in appearance. In order to extract features which can distinguish similar appearing characters, we employ Curvelet Transfor...
متن کاملA Methodology for Handwritten Character Recognition Using SVM
This paper discusses a methodology for handwritten character recognition applying feature subset selection to reduce number of features. Its novelty lies in the use of a genetic algorithm for the preparation of input data for a support vector machine which is employed to recognize the handwritten Persian digits in particular. Comprehensive experiments on handwritten Persian digits demonstrate t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Computer Science and Cybernetics
سال: 2012
ISSN: 1813-9663,1813-9663
DOI: 10.15625/1813-9663/25/1/473