Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1874
Title: Classification and recognition of online hand-written alphabets using machine learning methods
Authors: Popli R
Kansal I
Garg A
Goyal N
Garg K.
Keywords: Classification
Machine learning
Text recognition
KNN
SVM
Issue Date: 2021
Publisher: IOP Conference Series: Materials Science and Engineering
Abstract: Written alphabet recognition and classification plays an important role in pattern recognition, computer vision as well as image processing. In last few decades, a plethora of applications based on this area are developed such as sign identification, multi lingual learning systems etc.
URI: 10.1088/1757-899X/1022/1/012111
http://hdl.handle.net/123456789/1874
Appears in Collections:Conferences

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