Neural Network based Handwritten Character Recognition system
نویسندگان
چکیده
منابع مشابه
Neural based Handwritten Character Recognition
This paper explores the existing ring based [2], the new sector based and the combination of these, termed as Fusion method for the recognition of handwritten English capital letters. The variability associated with the characters is accounted for by way of considering a fixed number of concentric rings in the case of ring based approach and a fixed number of sectors in the case of sector appro...
متن کاملOffline Handwritten Character Recognition using Neural Network
The offline character recognition is very useful software in the field of research. Authoritative field of research has made by character recognition due to its need in various fields of research as in banks, post offices to fulfill all recognition requirements. This paper is an exploration on the different scripts including Mathematical digits, Hindi consonants and vowels, Gurumukhi characters...
متن کاملOffline Handwritten Character Recognition Using Neural Network
This paper is aimed at recognition of offline handwritten characters in a given scanned text document with the help of neural networks. Image preprocessing, segmentation and feature extraction are various phases involved in character recognition. The first step is image acquisition followed by noise filtering, smoothing and image normalization of scanned image. Segmentation decomposes image int...
متن کاملHandwritten Character Recognition with Feedback Neural Network
The ability of a machine to interpret handwritten characters from sources like paper document, photograph, etc. to some editable computerized form is the first and foremost aim of handwritten character recognition systems. Several challenges are there to construct this kind of systems, including the tasks eg. Digitization, segmentation, normalization, feature extraction, reorganization, and rec...
متن کاملHandwritten English Character Recognition Using Neural Network
In this paper, work has been performed to recognize Handwritten English Character using a multilayer perceptron with one hidden layer. The feature extracted from the handwritten character is Boundary tracing along with Fourier Descriptor. Character is identified by analyzing its shape and comparing its features that distinguishes each character. Also an analysis was carried out to determine the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal Of Engineering And Computer Science
سال: 2018
ISSN: 2319-7242
DOI: 10.18535/ijecs/v7i3.18