On-line handwriting recognition using Chain Code representation

نویسنده

  • Michal Shemesh
چکیده

When one preparing a first draft, concentrating on content creation or summarizing lecture notes, pencil and paper are often favored over the keyboard. Although in some cases (e.g. when copying text into a document or trying to organize written text) keyboard has a significant advantage over handwriting, in others it can cause difficulties, e.g. when writing lecture notes when equations, graphs and other marks are required. Also, when writing text, the keyboard is faster than handwriting for small alphabet languages, however for large-alphabet languages, like Chinese, keyboards are cumbersome. In these cases, where writing is favored, handwriting recognition offers the alternative's advantages.

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

Chaincode Contour Processing for Handwritten Word Recognition

ÐContour representations of binary images of handwritten words afford considerable reduction in storage requirements while providing lossless representation. On the other hand, the one-dimensional nature of contours presents interesting challenges for processing images for handwritten word recognition. Our experiments indicate that significant gains are to be realized in both speed and recognit...

متن کامل

Recognition of Isolated Handwritten Latin Characters using One Continuous Route of Freeman Chain Code Representation and Feedforward Neural Network Classifier

In a handwriting recognition problem, characters can be represented using chain codes. The main problem in representing characters using chain code is optimizing the length of the chain code. This paper proposes to use randomized algorithm to minimize the length of Freeman Chain Codes (FCC) generated from isolated handwritten characters. Feedforward neural network is used in the classification ...

متن کامل

Freeman Chain Code Route Length Optimization Using Meta-heuristic Techniques for Handwritten Character Recognition

Chain code is used as representation for an image in form of sequence of directional codes along the border or structure line. Issue arises during its extraction when the line has branches and the sequence must be continuous; no restarting at any junction is allowed. This paper presents a chain codes extraction of Thinned Binary Image (TBI) from upper-case Centre of Excellent for Document Analy...

متن کامل

A New Chain-code Quantization Approach Enabling High Performance Handwriting Recognition based on Multi-Classifier Schemes

In this paper initially we propose a novel approach to classify handwritten characters based on a directional decomposition of the corresponding chain-code representation. This is alternative to previous transformations of the chain-codes proposed by the authors, namely the ordered and random decomposition of the bit-planes resulting from the binary representation of the chain-codes. Subsequent...

متن کامل

An Overview of Run-length Encoding of Handwritten Word Images

Analysis of handwritten word images is closely tied to the method of representing the images. Diierent representations have their own sets of advantages and disadvantages. In this paper, we propose a novel method of encoding handwritten images using vertical runs that signiicantly simpliies the implementation of several image-processing tasks pertaining to handwriting recognition. We demonstrat...

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:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009