Tamil Character Recognition Using Structural Features

نویسندگان

  • AKSHAY APTE
  • HARSHAD GADO
چکیده

In this paper we propose an approach for offline recognition of Tamil characters using their structural features. Structural features are the features that are physically a part of the structure of the character, such as straight lines, arcs, circles, intersections etc. The features used for recognition are the positions of vertical lines, horizontal lines and branching in a character. Some other features, namely moments, zoning and number of transitions have also been explored to verify their utility in Tamil character recognition. For classification of the characters simple Euclidean distance was used.

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

Structural Run Based Feature Vector to Classify Printed Tamil Characters Using Neural Network

Feature Extraction plays most crucial and important role in character recognition. The selection of stable and representative set of features is the main problem in pattern recognition. Because of font characteristics and style variation of machine printed Tamil characters, feature extraction remains a problem. Feature extraction involves reducing the amount of resources required to describe a ...

متن کامل

Two Dimensional Principal Component Analysis for Online Tamil Character Recognition

This paper presents a new application of two dimensional Principal Component Analysis (2DPCA) to the problem of online character recognition in Tamil Script. A novel set of features employing polynomial fits and quartiles in combination with conventional features are derived for each sample point of the Tamil character obtained after smoothing and resampling. These are stacked to form a matrix,...

متن کامل

Character Recognition using RCS with Neural Network

Hand written Tamil Character recognition refers to the process of conversion of handwritten Tamil character into Unicode Tamil character. The scanned image is segmented into paragraphs using spatial space detection technique, paragraphs into lines using vertical histogram, lines into words using horizontal histogram, and words into character image glyphs using horizontal histogram. The extracte...

متن کامل

Hilditchs Algorithm Based Tamil Character Recognition

Character identification plays a vital role in the contemporary world of Image processing. It can solve many composite problems and makes human’s work easier. An instance is Handwritten Character detection. Handwritten recognition is not a novel expertise, but it has not gained community notice until Now. The eventual aim of designing Handwritten Character recognition structure with an accurate...

متن کامل

Offline Tamil Handwritten Character Recognition using Zone based Hybrid Feature Extraction Technique

Character recognition is the most important research area in today’s world. Many researchers have focused on recognizing handwritten digits, numerals and characters in so many languages. To the best of our knowledge, little work has been done in the area of Tamil handwritten character recognition but they did not achieve better accuracy. Feature extraction is the important phase of character re...

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 2008