DESIGN OF MACHINE LEARNING TECHNIQUE FOR HANDWRITTEN TEXT RECOGNITION
Sachin Kumar Gupta
, Dr. Ramesh Solanki
NLP- Natural Language Processing, CNN- Convolution Neural Network, OCR- Optical Character Recognition.
Handwriting Detection is a technique or ability of a Computer to receive and interpret intelligible handwritten input from source such as paper documents, touch screen, photo graphs etc. Handwritten Text recognition is one of area pattern recognition. The purpose of pattern recognition is to categorizing or classification data or object of one of the classes or categories. Handwriting recognition is defined as the task of transforming a language represented in its spatial form of graphical marks into its symbolic representation. Each script has a set of icons, which are known as characters or letters, which have certain basic shapes. The goal of handwriting is to identify input characters or image correctly then analysed to many automated process systems. This system will be applied to detect the writings of different format. The development of handwriting is more sophisticated, which is found various kinds of handwritten character such as digit, numeral, cursive script, symbols, and scripts including English and other languages. The automatic recognition of handwritten text can be extremely useful in many applications where it is necessary to process large volumes of handwritten data, such as recognition of addresses and postcodes on envelopes, interpretation of amounts on bank checks, document analysis, and verification of signatures. Therefore, computer is needed to be able to read document or data for ease of document processing.
"DESIGN OF MACHINE LEARNING TECHNIQUE FOR HANDWRITTEN TEXT RECOGNITION", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 9, page no.242 - 246, September-2020, Available :https://ijsdr.org/papers/IJSDR2009039.pdf
Volume 5
Issue 9,
September-2020
Pages : 242 - 246
Paper Reg. ID: IJSDR_192464
Published Paper Id: IJSDR2009039
Downloads: 000347206
Research Area: Engineering
Country: Navi Mumbai, Maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
