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Generic sign board detection in images

Hua Shen, Xiaoou Tang
2003 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval - MIR '03  
In this paper, we develop a system to detect generic sign board in an image or video. The only assumption we made is that the sign has to be a polygon formed by straight boundaries.  ...  Many special properties including special color, size, shape, and symmetry have to be used to detect these special sign boards.  ...  CONCLUSION In this paper, we present a method to detect sign boards in image and video. The sign can be any polygon shape, and is not limited to rectangles or triangles.  ... 
doi:10.1145/973264.973288 dblp:conf/mir/ShenT03 fatcat:46f4no4xvrcalcai2gj2xhbsha

Indian Traffic Signboard Recognition and Driver Alert System Using Machine Learning

Shubham Yadav, Anuj Patwa, Saiprasad Rane, Chhaya Narvekar
2019 International Journal of Applied Sciences and Smart Technologies  
In India there are different traffic sign board and they are classified into three categories: Regulatory sign, Cautionary sign, informational sign.  ...  System uses variety of image processing techniques to enhance the image quality and to remove non-informational pixel, and detecting edges. Feature extracter are used to find the features of image.  ...  Most of these systems typically involve two tasks finding the locations and sizes of sign board in natural scene images (sign board detection) and recognizing the detected signs board to interpret its  ... 
doi:10.24071/ijasst.v1i1.1843 fatcat:mbpqripyjvh2nnykclxxw54xqm

Novel VLSI Architectures for Image Segmentation and Edge Detection Algorithm

Prachi Dewan, Rekha Vig, Neeraj Shukla, B. K.
2016 International Journal of Computer Applications  
This paper proposes the hardware cosimulation model of different traffic signs carried out using Xilinx System Generator tool.  ...  Experimental results show that hardware co-simulation was successful in SPARTAN-3E DSP xc6slx45-3csg324 development board operating at 100MHz system clock.  ...  Implementation of segmentation and edge detection of traffic signs was done on Spartan-3E xc6slx45-3csg324 development board at 100 MHz clock speed.  ... 
doi:10.5120/ijca2016911577 fatcat:weklynqoofcyhidyywpvnwjldq

A New Area based Algorithm for Traffic Sign Board Detection and Classification by SVM Approach

Y. D., Ayush Kumar
2018 International Journal of Computer Applications  
This paper proposes a new approach for traffic sign board detection and also describes the SVM approach for the shape recognition into different classes of traffic sign boards.  ...  Then the properties of the image frame have been obtained for further analysis. The feature generation is done to get the principal component for the classification of objects.  ...  sign boards to avoid false detection.  ... 
doi:10.5120/ijca2018917945 fatcat:gqwm5hyon5bujjeohpkiumbmka

Saliency Map Generation

Kiran Kumar M Mogalai, Dr. Veenadevi S V
2017 IJARCCE  
There are many individual algorithm like pedestrian detection, sign board detection, lane detection, traffic board detection algorithm and so on, but the computational time will be more.  ...  Image Segmentation In computer vision, image segmentation is the process of partitioning a digital image into multiple segments.  ...  Further the output we can observe that only the sign board is highlighted which is the region of interest in sign board detection. Fig. 2 . 3 23 Saliency of an input image III.  ... 
doi:10.17148/ijarcce.2017.6551 fatcat:gwkeoemunngppkq4zy6z4ipxhy

Content Swapping: A New Image Synthesis for Construction Sign Detection in Autonomous Vehicles

Hongje Seong, Seunghyun Baik, Youngjo Lee, Suhyeon Lee, Euntai Kim
2022 Sensors  
Content swapping generates numerous synthetic construction signs by combining the board images (i.e., contents) taken from the in-domain images and the frames (i.e., geometric shapes) taken from the out-domain  ...  To train the deep learning detectors to detect construction signs, we need a large amount of training images which contain construction signs.  ...  Differently from the large amount of training images in general sign detection, only dozens of training images are given in construction sign detection.  ... 
doi:10.3390/s22093494 pmid:35591185 pmcid:PMC9105141 fatcat:zjae32i3gzfgzdtveltdd47axe

Detection of Traffic Sign using Feature Based Method

Shweta Thakre, Prof.N.P. Bhosale
2017 International Journal Of Engineering And Computer Science  
The images of the traffic sign board are cropped and it is matched with the original image, it will identify the key points in both the images and match between those points to find the similarity.  ...  In this system we propose a novel system for the automatic detection and recognition of traffic sign.  ...  The traffic sign boards remain unchanged in the country. The color of the traffic sign boards are black and red, the shape of the traffic sign boards may be circle or triangle.  ... 
doi:10.18535/ijecs/v6i3.44 fatcat:ak7shu36qfb3dfuzkwlhy6xt7u

Study and Implementation of Various Image De-Noising Methods for Traffic Sign Board Recognition

M. Monica Subashini, Abhinav Deshpande, Ramani Kannan
2019 Advances in Science, Technology and Engineering Systems  
A sincere vote of thanksgiving must be extended to Vellore Institute of Technology, Vellore administration and every one among the stakeholders whose contribution towards the completion of this work in  ...  In order to extract the candidate regions of the sign boards, a color-based segmentation technique was being proposed in the course of detecting the sign board images.  ...  If we consider the ranges for the process of detecting and recognizing the traffic sign board images, it was found that the range for detecting the sign boards was lying in between 13.09% and 90.18%, while  ... 
doi:10.25046/aj040466 fatcat:ohjuwwcd5jaengyplj5ztttkmi

Traffic Sign Detection and Recognition

Anju C P, Andria Joy, Haritha Ashok, Joseph Ronald Pious, Livya George
2020 International Journal of Innovative Science and Research Technology  
Therefore, the wholeprocess involves detecting the traffic sign, detecting textual data if any with the help of availabledatasets and then processing it into an audio as the output to the user in his/her  ...  As placement of traffic sign board do not follow any international standard, it may be difficultfor non-local residents to recognize and infer the signs easily.  ...  , audio generator.  ... 
doi:10.38124/ijisrt20jul787 fatcat:aowyswmcofc3fbc5emlhlsq2cq

Intelligent Vehicle Speed Controlling and Pothole Detection System

Aditya Anand, Rushiraj Gawande, Prathamesh Jadhav, Rima Shahapurkar, Anjali Devi, Nikhil Kumar, S.B. Sanap, V.K. Bhojwani, Mathew V K
2020 E3S Web of Conferences  
The proposed system set the maximum speed of vehicle with the help of sign board available on the roads which define the safe driving speed of vehicle for that area or road.  ...  We are proposing a Dynamic Speed Limiter with the help of machine learning algorithm which will help in reducing the accidents caused due to over speeding and rash driving of vehicles on road.  ...  The detection stage is responsible for detecting the sign board from the image, and in the recognition stage the values specified in the sign board will be identified.  ... 
doi:10.1051/e3sconf/202017002010 fatcat:ezgcw5paljggzbrpviafetq4vq

Traffic Sign Board Detection Using Single Shot Detection (SSD)

R. Krishna Paavani, V. Indraja, V. Neelimajyothi, S. Sai, Mr. M. Sriramulu
2022 International Journal for Research in Applied Science and Engineering Technology  
Keywords: Automatic traffic sign board Detection, SSD, Image processing, Text alert.  ...  Abstract: Traffic sign board detection (TSBD) is a significant portion of intelligent transportation system (ITS).  ...  generating region proposals, one for detecting the object of each proposal.  ... 
doi:10.22214/ijraset.2022.43336 fatcat:57dkjrvi7jfx7ibqqc4xgwwt7i

Intelligent transportation system of solar powered hybrid electric vehicles using pattern matching techniques in labview environment

M. Pallikonda Rajasekaran, N. Pothirasan, V. Muneeswaran
2021 3C Tecnología  
In this paper presented by utilizing a function there we make some links between the car and the signals present on the roads. The proposed system identifies the road sign with 98% accuracy.  ...  And, by using color detection algorithm and shape algorithm, we can capture the road signal and we will save ourselves from accidents.  ...  EXTRACTION OF SIGN BOARDS We set co-ordinate the detected sign board and extract sign board from over all image and using detected boards mask location was settled and extracted.  ... 
doi:10.17993/3ctecno.2021.specialissue8.293-311 fatcat:ykrr35fc75girowhl3hr6rsxte

Language Translation on Intelligent Navigation System using Image Processing

Anubhuti Rane, Sampada Gaonkar, Gauri Gulwane, Tamanna Kasliwal, Chaya Jadhav
2020 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
Text detection, extraction, and translation system must, therefore, be built to identify and recognize the text found on the navigation boards.  ...  The framework has been designed to take into account the need to create a desktop application that extracts the text from images based on traffic navigation boards and then translates it further into a  ...  Text Detection and Extraction Module The motive is to perform text detection and extraction on a text-based navigational board based image so as to translate the meaning of the generated text into the  ... 
doi:10.32628/cseit206412 fatcat:nn2jfnhfdvhehhdc4aifgazbzi

ShopSign: a Diverse Scene Text Dataset of Chinese Shop Signs in Street Views [article]

Chongsheng Zhang and Guowen Peng and Yuefeng Tao and Feifei Fu and Wei Jiang and George Almpanidis and Ke Chen
2019 arXiv   pre-print
The new dataset has three distinctive characteristics: (1) large-scale: it contains 25,362 Chinese shop sign images, with a total number of 196,010 text-lines. (2) diversity: the images in ShopSign were  ...  In this paper, we introduce the ShopSign dataset, which is a newly developed natural scene text dataset of Chinese shop signs in street views.  ...  It includes near 4,000 night images (captured in the night). In these night images, the sign boards are very remarkable and the rest background areas are comparatively dark.  ... 
arXiv:1903.10412v1 fatcat:rbjprketzre7jffltptpijlcne

Review of Traffic Sign Detection and Recognition Techniques

Swati Dehariya, M. Sarwar Raeen
2019 International Journal on Recent and Innovation Trends in Computing and Communication  
Traffic sign detection and recognition is a field of connected PC vision research worried about the programmed detection and grouping or recognition of traffic signs in scene pictures procured from a moving  ...  In this paper, talked about different detection and recognition schemes.  ...  TRAFFIC SIGN DETECTION AND RECOGNITION SYSTEM The ID of traffic signs is generally practiced in two fundamental stages: detection and recognition.  ... 
doi:10.17762/ijritcc.v7i6.5333 fatcat:sor3ca5wfzg4tckyrpx2rw5t4a
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