Handwritten Devanagari Lipi using Support Vector Machine

Handwritten digit Recognition using Support Vector Machine

Handwritten Numeral recognition plays a vital role in postal automation services especially in countries like India where multiple languages and scripts are used Discrete Hidden Markov Model (HMM) and hybrid of Neural Network (NN) and HMM are popular methods in handwritten word recognition system. The hybrid system gives better recognition result due to better discrimination capability of the N...

Support Vector Machine for Multiclass Handwritten Digits

In our research paper, we have implemented Multiclass Classification using Support Vector Machine (SVM). Pen Digit Recognition of Handwritten digit dataset is used for the purpose. One vs All approach has been applied using SVM to achieve multiclass classification. The same approach with different kernels has been analysed to select the right kernel. In this paper, we have found that selection ...

Online Handwritten Character Recognition for Devanagari and Tamil Scripts Using Support Vector Machines

Using Wavelet Support Vector Machine for Fault Diagnosis of Gearboxes

Identifying fault categories, especially for compound faults, is a challenging task in mechanical fault diagnosis. For this task, this paper proposes a novel intelligent method based on wavelet packet transform (WPT) and multiple classifier fusion. An unexpected damage on the gearbox may break the whole transmission line down. It is therefore crucial for engineers and researchers to monitor the...

Monthly rainfall Forecasting using genetic programming and support vector machine

Rainfall and runoff estimation play a fundamental and effective role in the management and proper operation of the watershed, dams and reservoirs management, minimizing the damage caused by floods and droughts, and water resources management. The optimal performance of intelligent models has increased their use to predict various hydrological phenomena. Therefore, in this study, two intelligent...