Title :
Handwritten character recognition using machine learning approach - a survey
Author :
Patel, Shivangkumar R ; Jha, Jasmine
Author_Institution :
L.J.I.E.T. PG Department, Ahmedabad, Gujarat - India
Abstract :
Handwritten character recognition is a very popular due to its wide range of application. Processing application forms, digitizing ancient articles, postal address processing, bank cheque processing and many others are the growing fields in area of handwritten character processing. Handwritten character is attracting researchers since last 3 decades. Many approaches have been proposed for effective recognition. In this paper, we have shown the detail survey on handwritten character recognition using neural network as a machine learning approache.
Keywords :
Character recognition; Feature extraction; Handwriting recognition; Hidden Markov models; Image segmentation; Neural networks; Support vector machines; ann; classification; feature extraction; handwritten character recognition; machine learning; svm;
Conference_Titel :
Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
Conference_Location :
Visakhapatnam, India
Print_ISBN :
978-1-4799-7676-8
DOI :
10.1109/EESCO.2015.7253978
