JOURNAL ARTICLE

Handwritten Character Detection Using Optical Character Recognition Method

Ms. Shubhangee S. Bhagat

Year: 2018 Journal:   International Journal for Research in Applied Science and Engineering Technology Vol: 6 (4)Pages: 4724-4726   Publisher: International Journal for Research in Applied Science and Engineering Technology (IJRASET)

Abstract

The handwritten character recognition using MATLAB converts the handwritten notes, printed documents, author books, papers etc into the editable word format. Using OCR(Optical Character Recognition) technique this can be possible with high speed and accuracy within a short interval of time. Now-a-days this technique serves a key factor and create the paperless environment. This paper presents a details of Handwritten Character Recognition.

Keywords:
Character (mathematics) Character recognition Computer science Artificial intelligence Pattern recognition (psychology) Optical character recognition Speech recognition Mathematics Image (mathematics)

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FWCI (Field Weighted Citation Impact)
3
Refs
0.05
Citation Normalized Percentile
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Citation History

Topics

Handwritten Text Recognition Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Vehicle License Plate Recognition
Physical Sciences →  Engineering →  Media Technology

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