Devanagari Handwritten Character Recognition using Hybrid Features Extraction and Feed Forward Neural Network Classifier (FFNN)

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Novel Approach of Handwritten Devanagari Character Recognition through Feed Forward Back Propagation Neural Network

Handwritten character recognition plays an important role in the modern world. It can solve more complex problems and makes human’s job easier. The present paper portrays a novel approach in recognizing handwritten devanagari character through feed forward back propagation neural network. All the experiments are conducted by using the Artificial Neural Network tool of Matlab.

متن کامل

Handwritten Devanagari Character Recognition Using Gradient Features

We describe novel methods of feature extraction for recognition of single isolated Devanagari character images. Our approach is flexible in that the same algorithms can be used, without modification, for feature extraction in a variety of OCR problems. These include handwritten, machine-print, grayscale, and binary and low-resolution character recognition. We use the gradient representation as ...

متن کامل

On-line Handwritten Devanagari Character Recognition using Fuzzy Directional Features

This paper describes a new feature set for use in the recognition of on-line handwritten Devanagari script based on Fuzzy Directional Features. Experiments are conducted for the automatic recognition of isolated handwritten character primitives (sub-character units). Initially we describe the proposed feature set, called the Fuzzy Directional Features (FDF) and then show how these features can ...

متن کامل

An Investigation on the Performance of Hybrid Features for Feed Forward Neural Network Based English Handwritten Character Recognition System

Optical Characters Recognition (OCR) is one of the active subjects of research in the field of pattern recognition. The two main stages in the OCR system are feature extraction and classification. In this paper, a new hybrid feature extraction technique and a neural network classifier are proposed for off-line handwritten English character recognition system. The hybrid features are obtained by...

متن کامل

Handwritten Character Recognition Using Classifier

Character recognition comes into play when we want to recognize the hand written characters in a perticular natural language. It can be done using various types of method and algorithm that are already defined.Character recognition is essentially a pattern recognition problem and has been around for years now. Although there are implementation of hand written characters in many natural language...

متن کامل

ذخیره 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 Computer Applications

سال: 2015

ISSN: 0975-8887

DOI: 10.5120/ijca2015906859