This paper is published in Volume 4, Issue 7, 2019
Area
Machine Learning
Author
Aayush Rijal
Org/Univ
Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, India
Keywords
Ml, Ai, Support Vector Machines (SVMs), Nearest Neighbor (NN), Principle Component Analysis (PCA)
Citations
IEEE
Aayush Rijal. Machine learning implementation to recognize manuscripts, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARnD.com.
APA
Aayush Rijal (2019). Machine learning implementation to recognize manuscripts. International Journal of Advance Research, Ideas and Innovations in Technology, 4(7) www.IJARnD.com.
MLA
Aayush Rijal. "Machine learning implementation to recognize manuscripts." International Journal of Advance Research, Ideas and Innovations in Technology 4.7 (2019). www.IJARnD.com.
Aayush Rijal. Machine learning implementation to recognize manuscripts, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARnD.com.
APA
Aayush Rijal (2019). Machine learning implementation to recognize manuscripts. International Journal of Advance Research, Ideas and Innovations in Technology, 4(7) www.IJARnD.com.
MLA
Aayush Rijal. "Machine learning implementation to recognize manuscripts." International Journal of Advance Research, Ideas and Innovations in Technology 4.7 (2019). www.IJARnD.com.
Abstract
A field of studies in artificial intelligence, computer vision, and pattern recognition is handwritten character recognition. In paper files, images, touch-screen devices, and other sources, a computer performing handwriting recognition is said to be able to obtain and identify characters and transform them into machine-encoded form. Its implementation can be discovered in optical character recognition, handwritten document transcription into digital papers, and more sophisticated smart character recognition technologies.
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