
In this paper, we propose a system for detecting fake ensigns using image processing ways. Our approach involves rooting features from the ensigns and training a classifier to distinguish between real and fake ensigns.
How to build a Logo Detection + Recognition system (at scale)
Aug 3, 2023 · Here is how I approached the problem in 2 steps: Logo Detection: So I trained a model that can create a bounding box on an image around potential logos, a universal logo detection system if you...
LOGOS: A Brand Independent logo detection model
Aug 8, 2022 · Not many logo detection models are available that will detect whether the image has a logo or not. This blog proposes a model that, if a logo is present in an image, can identify and predict the bounding box around it regardless of which brand it represents.
May 24, 2015 · In this paper, we surveyed different techniques involved in logo detection, recognition, extraction and logo based document image retrieval that explains methods of logo detection, segmentation, feature extraction, and logo matching with document image database.
US10936911B2 - Logo detection - Google Patents
FIG. 2 is a simplified flow diagram 200 showing an example of a process for logo detection using a logo detection model 220 trained to detect known logos according to certain embodiments.
Logo extraction plays an important role in logo based document image retrieval. Here we present a method for automatic logo extraction from the document images that works for scanned documents containing a logo. Proposed method uses morphological operations for …
Flowchart of logo detection | Download Scientific Diagram
TV logos are detected in static regions given by time-averaged edges subjected to post-processing operations. Once the region of interest of a logo candidate is established, TV logos...
Logo Recognition, Detection and Logo Based Document Image …
Fig. 2 shows flow diagram for Logo detection. It consist steps: pre-processing, feature extraction, Segmentation, and finally logo detection. The details of these procedures are presented in the following sections. It includes steps like noise removal and binarization of document images.
In this paper SIFT and SURF algorithm is used to extract logo from image. In the next step work may be used in noise removal technology. This module and its proper execution help to extract and matches the objects and will give promising results …
Logo is a key visual feature for readers to distinguish the origin or ownership of a document along with other features such as title and seal. In the applications of automatic document image processing, the main focus of logo detection is to find and …
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