Comparative Study of Handwritten Character Recognition System for Indian Languages

2021 ◽  
pp. 797-806
Author(s):  
Meghna B. Patel ◽  
Satyen M. Parikh ◽  
Ashok R. Patel
Keyword(s):  
Comparative Study ◽  
Character Recognition ◽  
Recognition System ◽  
Indian Languages ◽  
Handwritten Character Recognition ◽  
Handwritten Character

Handwritten Character Recognition Using Depth Information by Kinect

2013 ◽  
Vol 333-335 ◽  
pp. 883-887
Author(s):  
Yong Xia ◽  
Zhi Bo Yang ◽  
Kuan Quan Wang
Keyword(s):  
Character Recognition ◽  
Recognition Task ◽  
Recognition System ◽  
Depth Image ◽  
Input Device ◽  
Depth Information ◽  
Hand Gestures ◽  
Handwritten Character Recognition ◽  
Handwritten Character ◽  
Computer Mouse

t is quite constrained for us to use some other input devices to communicate with computers. In this paper, we integrate human-computer interaction technologies with handwritten Chinese character recognition strategies using depth image information provided by Kinect sensor to realize an unconstrained handwritten character recognition system, which only uses our hand as input device. We predefine several hand gestures as instructions, and for the recognition of these hand gestures, we calculate the contour and fingertips of the hand used for writing using depth image taken by Kinect. By mimicking the functionalities of the computer mouse only using our hands, we can write freely in the air and get the original character image. After Gaussian blurring and normalization, we adopt some classic handwritten character recognition schemes to accomplish the recognition task. Experiments show that the system gives a good result.

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