COMPARATIVE ANALYSIS OF FILTERS FOR TEXT EXTRACTION FROM NOISY IMAGES

Abstract

 With rapid growth of the internet the amount of image and video data is increasing exponentially. The text data present in images and videos is useful for automatic annotations, indexing and structuring of images. There is huge increment in images and video database online. In such database, there is need to fetch, explore and inspect the images and videos. Text extraction plays a major role in finding vital and valuable information. Noise is an important factor that influences the quality of image which is mainly produced in the processes of image acquirement and transmission. An image can be contaminated by noise like salt and pepper noise, random valued impulse noise, speckle noise and Gaussian noise. For the removal of noise from images, the filtering algorithm like adaptive filter, average filter, maximum filter, median filter, minimum filter, trimmed filter and wiener filter are used. After removing noise from input complex image the text is extracted in binary form through proposed algorithm. The proposed method uses the techniques of local contrast, local gradient, adaptive map contrast, canny edge detection for detection of text strokes and Otsu threshold for calculation of threshold value .On the basis of calculated threshold value the pixels are classified into background and foreground .A comparative study of some popular existing filtering method is done for text extraction from complex images .The proposed method is simulated in MATLAB to verify and validate the performance analysis.

Authors and Affiliations

Dixcha Gusain

Keywords

Related Articles

 OPTIMIZING TRANSMISSION OF WIRELESS VIDEO SURVEILLANCE USING COMBINED UEP STRATEGY

 Applications of Wireless communications are undergoing major expansion and have attracted a great attention not only in the media but also in imagination of the public. However, wireless channels are known to gene...

 An Elegant Approach for Diagnosis of Parkinson's disease on MRI Brain Images by Means of a Neural Network

 Early diagnosis of Parkinson's disease (PD) is of immense importance, since clinical symptoms do not occur until substantial parts of the substantia nigra(SN) neurons in the brain stem have been irreparably damage...

 Performance Evolution of Conceptual Designed of Single Panel C

 Now a day’s cryogenic pump available in mega mechanical project such as cryosorption pump available in ITER. This cryopump designed is applied in small scale industries to produce a vacuumed. Cryosorption pump in...

 LEONARDO DA VINCI’S INGENIOUS WAY OF CARVING ONE-FOURTH AREA OF A SEGMENT IN A CIRCLE

 Hippocrates of Chios (450 BC) has squared lunes, semicircle and full circle. Forgetting his squaring of circle, and 1. believing that 3.1415926 of polygon as Pi of the circle, 2. accepting wrong interpretation of...

BLUETOOTH BASED WIRELESS NOTICE USING ANDROID APPLICTION

There was printed notice board .Which was used to display any sort information but more changes information periodically. Then came electronic notice boards which used LED’s, particular combination display and sort any...

Download PDF file
  • EP ID EP112090
  • DOI -
  • Views 94
  • Downloads 0

How To Cite

Dixcha Gusain (0).  COMPARATIVE ANALYSIS OF FILTERS FOR TEXT EXTRACTION FROM NOISY IMAGES. International Journal of Engineering Sciences & Research Technology, 5(1), 416-422. https://europub.co.uk/articles/-A-112090