Robust Video Text Detection with Morphological Filtering Enhanced MSER

Zhuge, Yunzhi; Lu, Huchuan

doi:10.1007/s11390-015-1528-z

Cited by 7 publications

(5 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…OCR was used to extract the text from the scanned image. 4,[15][16][17] There were many OCRs available which need to be evaluated from the perspective of accuracy. [1][2][3] Here, three open-source OCRs-ML kit, Tesseract, and Google vision are mainly compared.…”

Section: Methodology Of the Proposed Systemmentioning

confidence: 99%

See 1 more Smart Citation

Pharmaceutical drugs expiry date tracking: A visionary approach

Goyal¹,

Goyal²,

Singh³

et al. 2022

Concurrency and Computation

View full text Add to dashboard Cite

Every drug manufacturer is legally bound to display the expiry date on all pharmaceutical products as medicines may not be safe or as effective after the expiry date.The problem is that any pharmaceutical drug has all the important information such as expiry date, batch no., manufacturing date written on a small corner of the packaging.Once that part is rubbed or torn out while taking a pill from the leaflet or otherwise, there is no way to know that crucial information making that whole drug a complete waste as one cannot take risks with their health. This article proposes a solution to find out this crucial information even after it is lost from the leaflet. Therefore, this research work is focused to design an application (app) based on the features of optical character recognition, database management system, auto-classification, aiming at helping people to use it with ease. One just need to scan the medicine once and the app will autosave all the required credentials that can be accessed later on by scanning it again.Compared to the existing technologies, this app does not depend on QR code as it can also be torn out while taking any pill.

show abstract

Section: Methodology Of the Proposed Systemmentioning

confidence: 99%

“…This option includes the image scanning, OCR, and auto‐classification feature. OCR was used to extract the text from the scanned image 4,15–17 . There were many OCRs available which need to be evaluated from the perspective of accuracy 1–3 .…”

Section: Methodology Of the Proposed Systemmentioning

confidence: 99%

Pharmaceutical drugs expiry date tracking: A visionary approach

Goyal¹,

Goyal²,

Singh³

et al. 2022

Concurrency and Computation

View full text Add to dashboard Cite

show abstract

“…Finally, the image is projected horizontally and vertically, and the candidate text regions are extracted by wavelet transform and unsupervised clustering. Zhuge and Lu [21] used the model based on level set function to realize text segmentation with small color difference between target and background and large text groove and solved the problem of difficult parameter selection in variational model through optimization calculation.…”

Section: Literature Reviewmentioning

confidence: 99%

Intelligent Detection Method of English Text in Natural Scenes in Video

Dai

Chen

2021

Scientific Programming

View full text Add to dashboard Cite

With the rapid development of Internet technology, breakthroughs have been made in all branches of computer vision. Especially in image detection and target tracking, deep learning techniques such as convolutional neural networks have achieved excellent results. In order to explore the applicability of machine learning technology in the field of video text recognition and extraction, a YOLOv3 network based on multiscale feature transformation and migration fusion is proposed to improve the accuracy of english text detection in natural scenes in video. Firstly, aiming at the problem of multiscale target detection in video key frames, based on the YOLOv3 network, the scale conversion module of STDN algorithm is used to reduce the low-level feature map, and a backbone network with feature reuse is constructed to extract features. Then, the scale conversion module is used to enlarge the high-level feature map, and a feature pyramid network (FPN) is built to predict the target. Finally, the improved YOLOv3 network is verified to extract key text from images. The experimental results show that the improved YOLOv3 network can effectively improve the false detection and missed detection caused by occlusion and small target, and the accuracy of English text extraction is obviously improved.

show abstract

“…Shivakumara et al [4] extract CCs based on K-means clustering in the Fourier-Laplacian domain, and eliminate false alarms using edge density, text straightness and proximity. Zhuge et al [5] present a CCbased algorithm which employs Maximally Stable Extremal Regions (MSER) as basic character candidates. Text CCs are then grouped into text lines using geometric information, and non-text CCs are excluded based on corner detection, multiframe verification and some heuristic rules.…”

Section: Related Workmentioning

confidence: 99%

Text Detection in Arabic News Video Based on SWT Operator and Convolutional Auto-Encoders

Zayene

Seuret

Touj

et al. 2016

2016 12th IAPR Workshop on Document Analysis Systems (DAS)

View full text Add to dashboard Cite

Text detection in videos is a challenging problem due to variety of text specificities, presence of complex background and anti-aliasing/compression artifacts. In this paper, we present an approach for horizontally aligned artificial text detection in Arabic news video. The novelty of this method revolves around the combination of two techniques: an adapted version of the Stroke Width Transform (SWT) algorithm and a convolutional auto-encoder (CAE). First, the SWT extracts text candidates' components. They are then filtered and grouped using geometric constraints and Stroke Width information. Second, the CAE is used as an unsupervised feature learning method to discriminate the obtained textline candidates as text or non-text. We assess the proposed approach on the public Arabic-Text-in-Video database (AcTiV-DB) using different evaluation protocols including data from several TV channels. Experiments indicate that the use of learned features significantly improves the text detection results.

show abstract

Robust Video Text Detection with Morphological Filtering Enhanced MSER

Cited by 7 publications

References 19 publications

Pharmaceutical drugs expiry date tracking: A visionary approach

Pharmaceutical drugs expiry date tracking: A visionary approach

Intelligent Detection Method of English Text in Natural Scenes in Video

Text Detection in Arabic News Video Based on SWT Operator and Convolutional Auto-Encoders

Contact Info

Product

Resources

About