A New Fuzzy Language for Online Handwriting Recognition

نویسندگان

  • Ashutosh Malaviya
  • Liliane Peters
  • Markus Theißinger
چکیده

In this paper we present a new fuzzy language for the syntactic description of online handwritten symbols. The proposed language FOHDEL can be extended to describe other image patterns as well. The presented language incorporates the fuzzy logic techniques to describe the syntactic relations of the semantic features extracted from a symbol pattern. The basic idea behind FOHDEL is to have a language with which a minimal number of character prototypes can be generated to match with a large number of samples acquired from different writers. In the first part of the paper the theoretical basis of the fuzzy formalism is defined. The structure of the proposed language is then illustrated with some examples. Finally the application of FOHDEL in our online character recognition system FOHRES is presented.

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

A Fuzzy Online Handwriting REcognition System : FOHRES

In this paper we present a new fuzzy online recognition system (FOHRES) for handwritten characters. Our new approach uses the advantages of fuzzy set theory for the classification of handwritten characters at different processing stages. The proposed fuzzy online handwriting description language (FOHDEL) provide a flexible multiwriter environment which is extendable to various tasks like recogn...

متن کامل

A Fuzzy Syntactic Method for On-Line Handwriting Recognition

Fuzzy logic has proved to be a powerful tool to represent imprecise and irregular patterns. Thus the representation of handwriting parameters is accomplished with fuzzy linguistic modeling. The development of a multi-layered rule based handwriting recognition system is described. The selection of the representative features, which describe the shapes and location of segments, is the core of the...

متن کامل

A hybrid approach of automatic fuzzy rule generation for handwriting recognition

This paper presents a hybrid approach of automatic fuzzy rule generation for on-line handwriting recognition. The fuzzy rules contain the feature information extracted from a given prototype data set. The fuzzy statistical measures and neural networks are used to select the associative features from the input symbols. The final decision is enhanced through additional combination with expert’s k...

متن کامل

Hybrid of HMM and Fuzzy Logic for Isolated Handwritten Character Recognition

Handwriting is a skill that is personal to individuals. The term “handwriting” is defined to mean as a surface consisting of artificial graphic marks conveying some message through the mark’s conventional relation to language (Plamondon & Srihari, 2000). Handwriting recognition is the task of producing the symbolic form, from the stored information of the handwriting data. Handwriting data is c...

متن کامل

تشخیص دست‌نوشتۀ‌ برخط فارسی با استفاده از مدل زبانی و کاهش قوانین نگارش کاربر

The Joint-up, cursive form of Persian words and immense variety of its scripts, also different figures of Persian letters depending on their sitting positions in the words, have turned the Persian handwritings recognition to an intense challenge. The major obstacle of the most often recognition ways, is their inattention to sentence contexture which causes utilizing of a word with correct appea...

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 2007