A hybrid approach to extract scene text from videos

Thilagavathy, A.; Aarthi, K.; Chilambuchelvan, A.

doi:10.1109/icceet.2012.6203930

Cited by 12 publications

(4 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The performance was evaluated on ICDAR 2003/2005 dataset. In our earlier work [24], we proposed a hybrid approach by combining region and connected component (CC) based method where artificial neural network (ANN) was used as the classifier.…”

Section: Related Workmentioning

confidence: 99%

RETRACTED: An Improved Fuzzy Based Algorithm for Detecting Text from Images Using Stroke Width Transform

Thilagavathy¹,

Chilambuchelvan²

2016

View full text Add to dashboard Cite

Retraction type (multiple responses allowed):  Unreliable findings   Lab error  Inconsistent data  Analytical error  Biased interpretation   Other:  Irreproducible results  Failure to disclose a major competing interest likely to influence interpretations or recommendations  Unethical research   Fraud   Data fabrication  Fake publication  Other:  Plagiarism  Self plagiarism  Overlap  Redundant publication *  Copyright infringement  Other legal concern:  Editorial reasons   Handling error  Unreliable review(s)  Decision error  Other: X Other: The journal Circuits and Systems is not in the authors' university's list. Results of publication (only one response allowed): Xare still valid.  were found to be overall invalid. Author's conduct (only one response allowed):  honest error  academic misconduct Xnone (not applicable in this casee.g. in case of editorial reasons) * Also called duplicate or repetitive publication. Definition: "Publishing or attempting to publish substantially the same work more than once." History Expression of Concern:  yes, date: yyyy-mm-dd Xno Correction:  yes, date: yyyy-mm-dd Xno Comment: This article has been retracted to straighten the academic record. In making this decision the Editorial Board follows COPE's Retraction Guidelines. Aim is to promote the circulation of scientific research by offering an ideal research publication platform with due consideration of internationally accepted standards on publication ethics. The Editorial Board would like to extend its sincere apologies for any inconvenience this retraction may have caused.

show abstract

Section: Related Workmentioning

confidence: 99%

RETRACTED: An Improved Fuzzy Based Algorithm for Detecting Text from Images Using Stroke Width Transform

Thilagavathy¹,

Chilambuchelvan²

2016

View full text Add to dashboard Cite

show abstract

“…that may be required to be of digital form. This setup can be used to recover textual information from surveillance footage as in [15] a hybrid approach is used to extract textual information form a video scene. Can be used in license plate recognition as in [16] an approach to determine license plate number is explained.…”

Section: Applicationsmentioning

confidence: 99%

Font Acknowledgment and Character Extraction of Digital and Scanned Images

Bashir¹

2013

IJCA

View full text Add to dashboard Cite

The font recognition and character extraction is of immense importance as these are many scenarios where data are in such a form, which cannot be processed like in image form or as a hard copy. So the procedure developed in this paper is basically related to identifying the font (Times New Roman, Arial and Comic Sans MS) and afterwards recovering the text using simple correlation based method where the binary templates are correlated to the input image text characters. All of this extraction is done in the presence of a little noise as images may have noisy patterns due to photocopying. The significance of this method exists in extraction of data from various monitoring (Surveillance) camera footages or even more. The method is developed on Matlab© which takes input image and recovers text and font information from it in a text file.

show abstract

“…Another approach in the paper [13] Hauling the scene text from image and video is challenging due to the complex background, changeable font size, dissimilar style, unknown layout, poor resolution and blurring, position, viewing angle and so on. For text extraction region and connected component based methods are used.…”

Section: Methodsmentioning

confidence: 99%

A Review on Optical Character Recognition Techniques

Modi¹,

Parikh²

2017

IJCA

View full text Add to dashboard Cite

At present scenario, there is growing demand for the software system to recognize characters in a computer system when information is scanned through paper documents. This paper presents detailed review in the field of Optical Character Recognition. Various techniques are determined that have been proposed to realize the center of character recognition in an optical character recognition system. OCR (Optical Character Recognition) translates images of typewritten or handwritten characters into the electronically editable format and it preserves font properties. Different techniques for preprocessing and segmentation have been surveyed and discussed in this paper. General TermsPattern Matching.

show abstract

A hybrid approach to extract scene text from videos

Cited by 12 publications

References 16 publications

RETRACTED: An Improved Fuzzy Based Algorithm for Detecting Text from Images Using Stroke Width Transform

RETRACTED: An Improved Fuzzy Based Algorithm for Detecting Text from Images Using Stroke Width Transform

Font Acknowledgment and Character Extraction of Digital and Scanned Images

A Review on Optical Character Recognition Techniques

Contact Info

Product

Resources

About