Hand Written Character Detection by Using Fuzzy Logic Techniques

نویسندگان

  • Kandula Venkata Reddy
  • Rajeswara Rao
چکیده

Now a day’s hand written character detection plays an important role. this paper presents an overview of future extraction method for offline detection of segmented characters selective of a feature extraction method. In this paper There are two techniques for identify hand written characters those are Active character detection(ACR) and contour Algorithms .These two techniques can be implemented by using the fuzzy logic. Pattern detection and artificial neural networks and fuzzy logic .the unknown character to be tested for identification is also converted to an image and compared with standards image and there by recognized by using the fuzzy logic generators. Keywords-ACR, STA, MNT, CONTOUR ALG

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Comparison of Fuzzy Artmap and Mlp Neural Networks for Hand-written Character Recognition

-Fuzzy ARTMAP is one of the recently proposed neural network paradigm where the fuzzy logic is incorporated. In this paper, we compare the Fuzzy ARTMAP neural network and the well-known back-propagation based Multi-layer perceptron (MLP), in the context of hand-written character recognition problem. The results presented in this paper shows that the Fuzzy ARTMAP out-performs its counterpart, bo...

متن کامل

A combinational approach of neural and fuzzy logic to recognize hand- written Bengali character

This thesis deals with the application of neural network and fuzzy logic based techniques for designing algorithm to recognize handwritten Bengali character. Fuzzy measures are related to methods of robust statistics, namely linear combinations of order statistics, which are used for combining information that may contain outliers, a common situation in handwriting recognition. Here first Chara...

متن کامل

Evolutionary Computing Techniques in Off-Line Handwritten Character Recognition: A Review

Handwritten character recognition is always a frontier area of research in the field of pattern recognition and image processing and there is a large demand for OCR on hand written documents. This paper provides a comprehensive review of existing works in handwritten character recognition based on Evolutionary computing technique during the past decade. KeywordsHandwritten Character recognition...

متن کامل

Hand printed Character Recognition using Neural Networks

In this paper an attempt is made to recognize hand-printed characters by using features extracted using the proposed sector approach. In this approach, the normalized and thinned character image is divided into sectors with each sector covering a fixed angle. The features totaling 32 include vector distances, angles, occupancy and end-points. For recognition, both neural networks and fuzzy logi...

متن کامل

Intelligent Systems for Off-Line Handwritten Character Recognition: A Review

Handwritten character recognition is always a frontier area of research in the field of pattern recognition and image processing and there is a large demand for Optical Character Recognition on hand written documents. This paper provides a comprehensive review of existing works in handwritten character recognition based on soft computing technique during the past decade. KeywordsHandwritten Cha...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013