Open AccessHandwritten Text Recognition Using Machine Learning
Author(s) -
Yojana Swapneel Samant
Publication year - 2021
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-2006
Subject(s) - computer science , domain (mathematical analysis) , artificial intelligence , set (abstract data type) , object (grammar) , identification (biology) , intelligent character recognition , cognitive neuroscience of visual object recognition , pattern recognition (psychology) , deep learning , image (mathematics) , machine learning , natural language processing , speech recognition , programming language , character recognition , mathematical analysis , botany , mathematics , biology
The human race has shown a huge interest in machines over the years and has developed and advanced to a very large extent in this domain. Starting from the object identification and classification through pictures to editing for the captured image or video everything can be performed through machines and advanced systems, one such part of this advanced technology is deep learning or machine learning. which comes with its own individual set of modules, algorithms, and techniques. Similar to this domain one such idea which was discovered is handwritten digit recognition. This is one of such areas where development and research occur around the numerical also known as digits, where a number of possibilities, permutations, and combinations are attained to gain accurate results this can also be perceived as the ability of computers to interpret and understand the given input which is through number plates, photographs, documents or can be in a handwritten format and to convert it in digital format as an output through screens.