Text Extraction in HIS Color Space by Weighting Scheme

• 발행기관: 한국스마트미디어학회
• 저자명: Le Thi Khue Van Gueesang Lee
• 간행물 정보: 『스마트미디어저널』Vol2, No.1, 31~36쪽, 전체 6쪽
• 주제분류: 공학 > 컴퓨터학
• 파일형태: PDF
• 발행일자: 2013.03.30

영문 초록

A robust and efficient text extraction is very important for an accuracy of Optical Character Recognition (OCR) systems. Natural scene images with degradations such as uneven illumination, perspective distortion, complex background and multi color text give many challenges to computer vision task, especially in text extraction. In this paper, we propose a method for extraction of the text in signboard images based on a combination of mean shift algorithm and weighting scheme of hue and saturation in HSI color space for clustering algorithm. The number of clusters is determined automatically by mean shift-based density estimation, in which local clusters are estimated by repeatedly searching for higher density points in feature vector space. Weighting scheme of hue and saturation is used for formulation a new distance measure in cylindrical coordinate for text extraction. The obtained experimental results through various natural scene images are presented to demonstrate the effectiveness of our approach.

목차

Abstract

I. INTRODUCTION

II. CYLINDRICAL DISTANCE in HIS COLOR SPACE

III. WEIGHTING SCHEME of HUE and SATURATION in FORMALATION of MODIFIED CYLINDRICAL DISTANCE

IV. TEXT EXTRACTION USING CLUSTERING ALGORITHM

V. EXPERIMENTAL RESULTS

VI. CONCLUSIONS

REFERENCES

키워드

Text extraction weighting scheme cylindrical distance HSI color space mean shift