K.R. AIDA-ZADE, J.Z. HASANOV
AN ANALYSIS OF THE AZERBAIJANI HANDWRITTEN LETTER RECOGNITION USING SUPPORT VECTOR MACHINE
The authors depict the properties and application of one of the modern methods used in machine learning – support vector machines (SVM). Initial processing, feature extraction, learning and recognition parts of the system are analyzed in detail; their role in recognition systems is shown. The paper is summarized with recommendations about the use the SVM and the results of the experiments.
Keywords: handwriting, recognition, features, support vectors, SVM, support vector machine
AN ANALYSIS OF THE AZERBAIJANI HANDWRITTEN LETTER RECOGNITION USING SUPPORT VECTOR MACHINE
The authors depict the properties and application of one of the modern methods used in machine learning – support vector machines (SVM). Initial processing, feature extraction, learning and recognition parts of the system are analyzed in detail; their role in recognition systems is shown. The paper is summarized with recommendations about the use the SVM and the results of the experiments.
Keywords: handwriting, recognition, features, support vectors, SVM, support vector machine