Scanned document enhancement based on fast text detection

Wang, Yue; Jmathew, Jobin; Saber, Eli; Larson, David J.; Bauer, Péter; Kerby, George; Wagner, Jerry

doi:10.1109/icassp.2016.7472019

Cited by 2 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Farahmand et al [2] discuss about different types document image noise and provide review of noise removal methods. Wang et al [3] presented fast text detection algorithm for scanned document images. They used low pass filter in their technique to remove high frequency noise, morphological operations and edge detection schemes.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Preprocessing Framework for Document Image Analysis

Dixit¹,

Shirdhonkar²

2019

IJANA

View full text Add to dashboard Cite

Preprocessing is the first step used in all the document image analysis algorithms. A well organized preprocessing could lead to better results of the analysis. This paper proposes a framework for preprocessing of document image for analysis. The frame work uses four steps such as color image to grayscale conversion, enhancement of grayscale image, binarizing the grayscale image and finally removal of clutter-noise. Horizontal and vertical projections are used to detect possible locations of clutter noise in this work. Then foreground pixels are replaced by background colored pixels based on the run length. The frame work provided better results for test images.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

“…Where "R" is the maximum gray level value of an image and MSE is Mean Square Error between original image and enhanced image. If I 1 and I 2 are the original and enhanced images of size M×N, the MSE between these images can be computed using equation (3).…”

Section: Wiener Filtermentioning

confidence: 99%

Preprocessing Framework for Document Image Analysis

Dixit¹,

Shirdhonkar²

2019

IJANA

View full text Add to dashboard Cite

show abstract

“…The text exists under varying conditions such as fonts, size, color, orientation, and illumination, as shown in Artificial Urdu Text Detection and Localization from Individual Video Frames mechanism and methods for several specific applications like visually impaired people's assistance [4], video indexing and retrieval [5], document analysis [6], content-based image search, automatic translation and so on.Since last decade, many researchers and scientists have been paying more attention to text acquisition from the video images; however, it is still a challenging task due to varying properties of text including unwanted reflection, shadow, and complex backgrounds.…”

Section: Introductionmentioning

confidence: 99%

Artificial Urdu Text Detection and Localization from Individual Video Frames

Unar

Jalbani

Jawaid

et al. 2018

Mehran Univ. res. j. eng. technol.

View full text Add to dashboard Cite

In current era of technology, information acquisition from images and videos become most important task due to the rapid development of data mining and machine learning.The information can be either textual, visual, or combination of these. Text appearing in images or videos is a significant source of information and plays a vital role to perceive it. Developing a unified method to detect the text is hard, as textual properties (i.e. font, size, color, illumination, orientation, etc.) may vary with the complex background. So far, multimedia and computer vision community unable yet to standardize any ideal

show abstract

Scanned document enhancement based on fast text detection

Cited by 2 publications

References 10 publications

Preprocessing Framework for Document Image Analysis

Preprocessing Framework for Document Image Analysis

Artificial Urdu Text Detection and Localization from Individual Video Frames

Contact Info

Product

Resources

About