Segmentation of On-Line Freely Written Japanese Text Using SVM for Improving Text Recognition

نویسندگان

  • Bilan Zhu
  • Masaki Nakagawa
چکیده

This paper describes a method of producing segmentation point candidates for on-line handwritten Japanese text by a support vector machine (SVM) to improve text recognition. This method extracts multi-dimensional features from on-line strokes of handwritten text and applies the SVM to the extracted features to produces segmentation point candidates. We incorporate the method into the segmentation by recognition scheme based on a stochastic model which evaluates the likelihood composed of character pattern structure, character segmentation, character recognition and context to finally determine segmentation points and recognize handwritten Japanese text. This paper also shows the details of generating segmentation point candidates in order to achieve high discrimination rate by finding the combination of the segmentation threshold and the concatenation threshold. We compare the method for segmentation by the SVM with that by a neural network using the database HANDSKondate_t_bf-2001-11 and show the result that the method by the SVM bring about a better segmentation rate and character recognition rate.

برای دانلود 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

Segmentation of On-Line Handwritten Japanese Text Using SVM for Improving Text Recognition

This paper describes a method of producing segmentation point candidates for on-line handwritten Japanese text by a support vector machine (SVM) to improve text recognition. This method extracts multi-dimensional features from on-line strokes of handwritten text and applies the SVM to the extracted features to produces segmentation point candidates. We incorporate the method into the segmentati...

متن کامل

A Model of On-line Handwritten Japanese Text Recognition Free from Line Direction and Writing Format Constraints

This paper presents a model and its effect for on-line handwritten Japanese text recognition free from line-direction constraint and writing format constraint such as character writing boxes or ruled lines. The model evaluates the likelihood composed of character segmentation, character recognition, character pattern structure and context. The likelihood of character pattern structure considers...

متن کامل

On-line Handwritten Japanese Text Recognition by Improving Segmentation Quality

This paper describes a method of on-line handwritten Japanese text recognition by improving segmentation quality. The method produces hypothetical segmentation points according to features such as distance and overlap between adjacent strokes. Moreover, it extracts multidimensional features from these hypothetical segmentation points and applies an SVM to the extracted features to produces segm...

متن کامل

Segmentation of On-line Handwritten Japanese Characters of Arbitrary Line Direction Using SVM

Bilan Zhu and Masaki Nakagawa Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, Tokyo 184-8588, Japan E-mail: {zhubilan, nakagawa}@cc.tuat.ac.jp Abstract This paper describes a method of producing segmentation point candidates for on-line handwritten Japanese text by a support vector machine (SVM) to improve text recognition. This method extracts multi-dimensional featu...

متن کامل

An On-line Handwritten Japanese Text Recognition System Free from Line Direction and Character Orientation Constraints

This paper describes an on-line handwritten Japanese text recognition system that is liberated from constraints on line direction and character orientation. The recognition system first separates freely written text into text line elements, second estimates the line direction and character orientation using the time sequence information of pen-tip coordinates, third hypothetically segment it in...

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

برای دانلود 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

عنوان ژورنال:
  • IEICE Transactions

دوره 91-D  شماره 

صفحات  -

تاریخ انتشار 2008