STM Journals Peer-reviewed research from Consortium e-Learning Network

4 publications

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    Implementing Feature Extraction on Number Plates and Facial Features

    By Saurabh Allawadhi, Aastha Sharma, Nitin Kumar, Abhilash Shokeen

    Abstract: In this paper, we suggest a feature point extractor naming SURF Speeded Up Robust Features. It is mostly used for 3D images reconstruction, object identification & recognition. It performs in detecting adequate feature points in required region of interest thus making it much faster. This is performed on the basis of image convolutions and simplifying these convolutions to the necessary key points. The paper performed experiments on the various image …

    Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 28–37 Read article

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    Identify the effect of filters on noises

    By Saurabh Allawadhi, Priti Gangania

    Abstract: Removal of noise from the image is the preleminary step when image pre-processing is done. Many fields such as weather forecasting, 3D graphics in which working on images is done by enhancing the image so that it can be used furthur. Various noises due to temperature, environment conditions, sensors enter into the image. When noise is removed from the image it highlights the particular parts of the image that are …

    Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 22–27 Read article

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    Extract & Recognize texts From Images using ROI and Webcam

    By Saurabh Allawadhi, Priti Gangania

    Abstract: Identification of texts from logos is crucial step in today’s world as every organisation has a different logo. Logos may contain different colorful background which make it difficult to easily recognise the text from the logo. Sometimes, texts on the logos are not easily readable as texts may have different font, foreground color, orientations,etc. This paper focusses on the extraction and recognition of texts from the logos and number plates.We …

    Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 45–50 Read article

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    Analogy between Various Edge Detection Algorithms

    By Saurabh Allawadhi, Priti Gangania

    Abstract: Image segmentation is the technique of detecting edges of the object within the picture that we want to identify. Image recognition is carried out in various steps: Step 1: RGB value of picture is extracted. Step 2: Gray image is acquired either using formulae 0.2989×R+0.5870×G+0.1140×B or the usage of rgb2gray() function. Step 3: Binary image is acquired from gray image. Step 4: Now edge detection is implemented using various algorithms …

    Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 39–44 Read article

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