Search Results - (( developing current recognition algorithm ) OR ( java implication _ algorithm ))
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1
Weed recognition based on erosion and dilation segmentation algorithm
Published 2009“…Currently research is going on for developing new machine vision algorithms for automatic recognition and classification of many divers object groups. …”
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Conference or Workshop Item -
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Enhanced Continuous Face Recognition Algorithm for Bandwidth Constrained Network in Real Time Application
Published 2023Conference Paper -
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Car License Plate Recognition by Using Template Matching Algorithm
Published 2014“…There are many researches on this topic whether handwritten character recognition, typewritten character recognition or other pattern recognition. …”
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4
CAR LICENSE PLATE RECOGNITION BY USING TEMPLATE MATCHING ALGORITHM
Published 2015“…CLPR is developed to recognize the car license plate with the implementation of Digital Image Processing (DIP) and Template Matching Algorithm (TMA) approaches by using the MATLAB software. …”
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Proceeding -
5
Shape-based Road Sign Detection and Recognition for Embedded Application Using MATLAB
Published 2010“…In this paper, we propose a road sign detection and recognition algorithm for an embedded application. The algorithm is based on the Hough transform method to detect lines in order to identify and determine the shape of the road sign. …”
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6
Real-time vision-based Malaysian road sign recognition using an artificial neural network / Kh Tohidul Islam
Published 2017“…The system is based on two stages, one performs the detection and another one is for recognition. In the first stage, a hybrid color segmentation algorithm has been developed and tested. …”
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7
Hevea leaf features extraction and recognition algorithm for hevea clones classification using image / Mohamad Faizal Ab Jabal, Suhardi Hamid, Salehuddin Shuib
Published 2013“…As a result Wu et al. [1] was successful developed an efficient algorithm for the plant classification. 32 kinds of plants have been classified by using the algorithm. …”
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Research Reports -
8
Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…It shows that our proposed algorithm improved the recognition rate with negligible additional processing time.…”
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Book -
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AUTOMATED IP CAMERA: ATTENDANCE BASED APPLICATION USING FACIAL RECOGNITION
Published 2016“…In this paper, the author utilized the facial recognition technique to develop a system to take the attendance of the students in the class. …”
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Final Year Project -
10
Two-stage feature selection using ranking self-adaptive differential evolution algorithm for recognition of acceleration activity
Published 2018“…Consequently, this paper proposes a ranking self-adaptive differential evolution (rsaDE) feature selection algorithm. The proposed algorithm is capable of selecting the optimal feature subsets while improving the recognition of acceleration activity using a minimum number of features. …”
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Smart attendance system with Iot based face recognition using deep learning approach
Published 2023“…In conclusion, the project’s aim and objectives were successfully accomplished, which included developing a facial recognition system designed specifically for attendance tracking and conducting a literature review covering current approaches and results in facial recognition algorithms. …”
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Final Year Project / Dissertation / Thesis -
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Malaysian license plate recognition system using Convolutional Neural Network (CNN) on web application / Nur Farahana Mahmud
Published 2022“…Nowadays, there are numerous license plate recognition systems that have been developed and analysed effectively by previous researchers using different machine learning algorithms. …”
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Student Project -
13
Automatic attendance system using face recognition with deep learning algorithm
Published 2022“…A GUI has been made to simplify the usage of the system. The face recognition system has been developed using a combination of two deep learning algorithms: Multi-Task Cascaded Convolutional Neural Network (MTCNN) and FaceNet. …”
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Conference or Workshop Item -
14
Automatic attendance system using face recognition with deep learning algorithm
Published 2022“…A GUI has been made to simplify the usage of the system. The face recognition system has been developed using a combination of two deep learning algorithms: Multi-Task Cascaded Convolutional Neural Network (MTCNN) and FaceNet. …”
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15
Modem Recognition Algorithm for Software Defined Radio Base Station
Published 2004“…As a whole, the proposed modem recognition algorithm demonstrated successful recognition of QPSK, MSK, QASK, and BPSK for a lower-bound channel SNR greater than 5dB with average processing time of approximately 75ms. …”
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Thesis -
16
A sequential handwriting recognition model based on a dynamically configurable convolution recurrent neural network and hybrid salp swarm algorithm
Published 2024“…The definition includes processing of an image in which handwritten letters or numbers exist with the term handwriting recognition. The practical applications of handwriting recognition in many of the current real-world applications rely on the processing of sequential texts, where the language must be detected with efficiency, suggesting the development of a flexible handwriting recognition model. …”
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17
Plant recognition based on identification of leaf image using image processing / Nor Silawati Sha’ari
Published 2018“…In this paper, by using the database available in the internet and using Neural Network (NN) as training algorithm, plant recognition based on leaves image would be developed. …”
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Student Project -
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Smart Attendance: Automated Face Recognition System During Final Examination in UTP
Published 2019“…Smart Attendance is a user-friendly face recognition system that is planned to be developed in order to replace the current traditional method of recording attendance of students in UTP during Final Examination. …”
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Final Year Project -
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Property premises intruders detection using face recognition method / Joveni Henry
Published 2017“…One of the technology that is rapidly advancing is face recognition. Therefore, this project emphasize strongly on developing a system that can detect intruders of property premises by using the face recognition method. …”
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Thesis
