Search Results - (( process segmentation matching algorithm ) OR ( java application optimized algorithm ))
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1
Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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Book -
2
Image enhancement and segmentation on simultaneous latent fingerprint detection
Published 2015“…This thesis presents an algorithm to segment individual fingerprints for SLF image. …”
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Thesis -
3
Stereo Matching Algorithm Based On Per Pixel Difference Adjustment, Iterative Guided Filter And Graph Segmentation
Published 2017“…Stereo matching process is a difficult and challenging task due to many uncontrollable factors that affect the results. …”
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Stereo matching algorithm using census transform and segment tree for depth estimation
Published 2023“…This article proposes an algorithm for stereo matching corresponding process that will be used in many applications such as augmented reality, autonomous vehicle navigation and surface reconstruction. …”
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Embedded car plate image recognition system
Published 2008“…In order to speed up the image processing process, the system do not use complex algorithm such as Neural Network but use a simple algorithm such as template matching. …”
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An improved fast scanning algorithm based on distance measure and threshold function in region image segmentation
Published 2016“…Various algorithms have been proposed for image segmentation and this includes the Fast Scanning algorithm which has been employed on food, sport and medical image segmentation. …”
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7
Disparity map algorithm using hierarchical of bitwise pixel differences and segment-tree from stereo image
Published 2024“…In computer vision technology, stereo matching algorithm plays an important role in generating disparity map or depth map through a correspondence process from stereo images. …”
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8
An evolutionary harmony search algorithm with dominant point detection for recognition-based segmentation of online Arabic text recognition
Published 2014“…At first, the pre-segmentation algorithm uses a modified dominant point detection algorithm to mark a minimal number of points which defines the text skeleton. …”
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Mathematical snalysis of blood vessels segmentation based on three retinal images datasets
Published 2014“…In this work, three basic algorithms for segmenting retinal blood vessels, based on different image processing techniques which are Matched filter, Hough transform and Morphological operations are used and their strengths and weaknesses in terms of retinal images segmentation are compared mathematically. …”
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Proceeding Paper -
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Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications
Published 2016“…DSF algorithm is a hybrid stereo matching algorithm which divided into two phases. …”
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Iris Segmentation Analysis using Integro-Differential Operator and Hough Transform in Biometric System
Published 2012“…Then the image captured is segmented and normalized for encoding process. The matching technique, Hamming Distance, is used to match the iris codes of iris in the database weather it is same with the newly enrolled for verification stage. …”
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Quality inspection of engraved image using based matching approach
Published 2011“…The extracted contour is used as template for object recognition during matching process. Several objects are engraved on the acrylic souvenir bases with different color background to test the algorithm. …”
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Blood vessels segmentation based on three retinal images datasets
Published 2016“…The results show that measuring the automatic segmentation algorithm performance is based mainly on how the retinal images are acquired as well as the image processing technique used for segmentation. …”
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Iris Segmentation Analysis Using Integro-Differential Operator And Hough Transform In Biometric System
Published 2012“…Iris segmentation is foremost part of iris recognition system.There are four steps in iris recognition: segmentation,normalization,encoding and matching.Here, iris segmentation has been implemented using Hough Transform and IntegroDifferential Operator techniques.The performance of iris recognition system depends on segmentation and normalization technique.Iris recognition systems capture an image from individual eye.Then the image captured is segmented and normalized for encoding process.The matching technique,Hamming Distance,is used to match the iris codes of iris in the database weather it is same with the newly enrolled for verification stage.These processes produce values of average circle pupil,average circle iris,error rate and edge points.The values provide acceptable measures of accuracy False Accept Rate (FAR) or False Reject Rate (FRR).Hough Transform algorithm,provide better performance,at the expense of higher computational complexity.It is used to evolve a contour that can fit to a non-circular iris boundary.However,edge information is required to control the evolution and stopping the contour.The performance of Hough Transform for CASIA database was 80.88% due to the lack of edge information.The GAR value using Hough Transform is 98.9% genuine while 98.6% through Integro-Differential Operator.…”
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15
Performance evaluation of automatic number plate recognition on android smartphone platform
Published 2017“…On the other hand, the traditional algorithm using template matching only obtained 83.7% recognition rate with 0.98 second processing time. …”
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Disparity Refinement Based on Depth Image Layers Separation for Stereo Matching Algorithms
Published 2012“…This paper presents a method to improve the raw disparity maps in the disparity refinement stage for stereo matching algorithm. The proposed algorithm will use the disparity depth map from the stereo matching algorithm as initial disparity depth output with a basic similarity metric of SAD. …”
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Image matching using relational graph representation
Published 2005“…Feature-based matching algorithm cannot tackle the problem of matching ambiguities easily. …”
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18
A novel map-matching algorithm to improve vehicle tracking system accuracy
Published 2007“…The satellite-based Vehicle Tracking System accuracy can be improved by augmenting the positional information using road network data, in a process known as map-matching. Map-matching algorithms attempt to pinpoint the vehicle in a particular road map segment (or any restricting track such as rails, etc), in spite of the digital map errors and navigation system inaccuracies. …”
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Conference or Workshop Item -
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Fingerprint image segmentation using hierarchical technique
Published 2000“…The quality or the fingerprint image is the most significant (actor in a reliable matching process. Thus, any pre-processing algorithm should aim to enhance the quality of the existing features without creating false features [I). …”
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