Character Recognition using Dynamic Windows

نویسندگان
چکیده

برای دانلود رایگان 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

Hand Written Character Recognition Using Dynamic Reshaping

In this project, we propose a new approach to hand written character recognition, called dynamic reshaping, which avoids the respective drawbacks of classical neural network approaches. Contrary to the neural network based recognition, our scheme does not need any training set, instead, only very limited character templates are needed. Dynamic reshaping recognition is based on the dynamic trans...

متن کامل

Dynamic Character Recognition Using Hidden Markov Models.1

Hidden Markov Model theory is an extension of the Markov Model process. It has found uses in such areas as speech recognition, target tracking and word recognition. One area which has received little in the way of research interest, is the use of Hidden Markov Models in character recognition. In this paper the application of Hidden Markov Model theory to dynamic character recognition is investi...

متن کامل

Optical Character Recognition using Dynamic Memory Image Algorithm

Embedded products have different types of display screens like LCD, Touch screen, CRT etc. For automating the development testing of such devices, we need to recognize the text displayed on it using a camera. It is always a challenge to recognize the LCD display screen using OCR engines. Due to the custom display nature of these LCD controllers as well as the small font size, character recognit...

متن کامل

Dynamic Zoning Selection for Handwritten Character Recognition

This paper presents a two-level based character recognition method in which a dynamically selection of the most promising zoning scheme for feature extraction allows us to obtain interesting results for character recognition. The first level consists of a conventional neural network and a look-up-table that is used to suggest the best zoning scheme for a given unknown character. The information...

متن کامل

Character Recognition using Neural Network

Handwritten characters recognition (HCR) presents a great challenge in the field of image processing and pattern recognition. This paper presents handwritten English characters recognised using shape based zoning features with the help of neural network (NN) as a classifier. The neural network used is pattern-net. The recognition rate is observed almost 96%. .

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: 2012

ISSN: 0975-8887

DOI: 10.5120/5620-7912