Search Results - (( developing effective recognition algorithm ) OR ( java segmentation using algorithm ))

Search alternatives:

Refine Results
  1. 1
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  2. 2
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
    Get full text
    Get full text
    Get full text
    Book
    Save to List
    Saved in:
  3. 3
    Development of seven segment display recognition using TensorFlow on Raspberry Pi

    Development of seven segment display recognition using TensorFlow on Raspberry Pi by Gunawan, Teddy Surya, Mohammad Reduwan, Haque, Yaacob, Mashkuri, Mohamed Azmin, Nor Fadhillah, Ismail, Nanang, Ismail, Md Yusof, Kartiwi, Mira, A. Rahman, Azhar

    Published 2022
    Get full text
    Get full text
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:
  4. 4
    Car plate recognition system : (segmentation)

    Car plate recognition system : (segmentation) by Nor Helmy Effendy, Meon

    Published 2005
    “…However, in this research, it only focuses on two phases of the recognition phase which are car plate thinning phase and car plate segmentation phase.The technique that was used in every phase is based on the algorithms that are developed by previous researchers. …”
    Get full text
    Get full text
    Undergraduates Project Papers
    Save to List
    Saved in:
  5. 5
    Algorithm of face recognition by principal component analysis

    Algorithm of face recognition by principal component analysis by Al-Khateeb, Khalid A. Saeed, Yeop Johari, Jaiz Anuar

    Published 2002
    “…A face recognition algorithm based on Principal Component Analysis (PCA) has been developed and tested for computer vision applications. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  6. 6
    Dynamic Bayesian networks and variable length genetic algorithm for designing cue-based model for dialogue act recognition

    Dynamic Bayesian networks and variable length genetic algorithm for designing cue-based model for dialogue act recognition by Yahya, Anwar Ali, Mahmod, Ramlan, Ramli, Abd Rahman

    Published 2010
    “…The model is evaluated against two previously proposed models and the results confirm the potentiality of dynamic Bayesian networks for dialogue act recognition. In the second stage, the developed variable length genetic algorithm is used to select different sets of lexical cues to constitute the dynamic Bayesian networks' random variables. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  7. 7
    Fruit recognition system / Nurul Husna Mohd Hofni

    Fruit recognition system / Nurul Husna Mohd Hofni by Nurul Husna, Mohd Hofni

    Published 2011
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  8. 8
    Hand gesture recognition in ASD related motion using YOLOv8 algorithm / Muhammad Afiq Mohd Ali

    Hand gesture recognition in ASD related motion using YOLOv8 algorithm / Muhammad Afiq Mohd Ali by Mohd Ali, Muhammad Afiq

    Published 2025
    “…The study focuses on designing a Hand Gesture Recognition application by means of the YOLOv8 deep learning algorithm to recognize hand gestures associated with autism spectrum disorder (ASD). …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  9. 9
    The effects of compiler optimizations in face recognition system

    The effects of compiler optimizations in face recognition system by Shuhaizar, Daud, Khalib, Z.I.K, R. Badlishah, Ahmad, Mohamad Rizon, Mohamed Juhari

    Published 2009
    Get full text
    Article
    Save to List
    Saved in:
  10. 10
    Study of hand gesture recognition using impulse radio ultra wideband (IRUWB) radar sensor

    Study of hand gesture recognition using impulse radio ultra wideband (IRUWB) radar sensor by Terence Jerome Daim

    Published 2023
    “…The developed algorithms interpret raw IR-UWB radar sensor data and associate it with specific hand gestures, addressing the core objective of gesture recognition. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  11. 11
    Real-time vision-based Malaysian road sign recognition using an artificial neural network / Kh Tohidul Islam

    Real-time vision-based Malaysian road sign recognition using an artificial neural network / Kh Tohidul Islam by 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. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  12. 12
    Modem Recognition Algorithm for Software Defined Radio Base Station

    Modem Recognition Algorithm for Software Defined Radio Base Station by Rukumangatha Rajah, Sivaraman

    Published 2004
    “…The statistical order was classified based on the latency and the effectiveness of recognition among the identified modulation schemes. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  13. 13
    Development of an intelligent multimodal biometric system for household appliances control

    Development of an intelligent multimodal biometric system for household appliances control by Abiodun musa, Aibinu

    Published 2012
    “…In the first phase, individual biometrics recognition algorithms were developed for each biometrics feature. …”
    Get full text
    Get full text
    Get full text
    Monograph
    Save to List
    Saved in:
  14. 14
    Feature fusion using a modified genetic algorithm for face and signature recognition system

    Feature fusion using a modified genetic algorithm for face and signature recognition system by Suryanti, Awang

    Published 2015
    “…This thesis focuses on the development of feature level fusion of bimodal biometrics system for face and dynamic signature recognition system The modalities of biometric are used due to the ability to avoid spoof attack since it is difficult for impostor to imitate two different characteristics (behaviour and physical) at the same time. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  15. 15
    Two-stage feature selection using ranking self-adaptive differential evolution algorithm for recognition of acceleration activity

    Two-stage feature selection using ranking self-adaptive differential evolution algorithm for recognition of acceleration activity by Zainudin, Muhammad Noorazlan Shah, Sulaiman, Md. Nasir, Mustapha, Norwati, Perumal, Thinagaran, Mohamed, Raihani

    Published 2018
    “…However, the improvement of ranking features in activity recognition has not yet been achieved. On the other hand, an evolutionary algorithm has proven its effectiveness in searching the best feature subsets. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  16. 16
    Human emotion recognition for computer games player using AdaBoost algorithm / Muhamad Nur Adhwa Muhamad Shukri

    Human emotion recognition for computer games player using AdaBoost algorithm / Muhamad Nur Adhwa Muhamad Shukri by Muhamad Shukri, Muhamad Nur Adhwa

    Published 2017
    “…This application focusing on developing further implementation of human emotions recognition so that it will be more efficient and effective to be use in the future. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  17. 17
    Recognising Malaysia traffic sign with rain drop disturbance using deep learning

    Recognising Malaysia traffic sign with rain drop disturbance using deep learning by Pang, Wan Chee

    Published 2022
    “…In this study, a convolutional neural network (CNN) is applied as it is a deep neural network that is well-known for effective image recognition. The algorithms are developed in Python language using Anaconda Spyder as the software. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
    Save to List
    Saved in:
  18. 18
    Design and development of intelligent 3d model recognition and inspection system in die stamping industry

    Design and development of intelligent 3d model recognition and inspection system in die stamping industry by Suryana, Nanna, Widodo, Wahyono Sapto, Hussin, Burairah, Mohd. Yusoh, Zeratul Izzah, Akbar, Habibullah

    Published 2012
    “…To overcome this problem, a new defect inspection algorithm for stamped part is developed and tested. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Technical Report
    Save to List
    Saved in:
  19. 19
    Modeling the effect of implementation of artificial intelligence powered image analysis and pattern recognition algorithms in concrete industry

    Modeling the effect of implementation of artificial intelligence powered image analysis and pattern recognition algorithms in concrete industry by Waqar, Ahsan, Bheel, Naraindas, Tayeh, Bassam A.

    Published 2024
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  20. 20
    Automatic attendance system using face recognition with deep learning algorithm

    Automatic attendance system using face recognition with deep learning algorithm by Al-Amoudi, Ibrahim, Rosdiyana, Samad, Nor Rul Hasma, Abdullah, Mahfuzah, Mustafa, Pebrianti, Dwi

    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. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:

Search Tools: