Search Results - (( edge detection system algorithm ) OR ( _ identification system algorithm ))*

Vision-based flame analysis using motion and Edge Detection by Razmi, Suzilawati Mohd, Saad, Nordin, Asirvadam, Vijanth Sagayan

“…This paper stresses on the flame detection algorithm. The results show that detection of flame using motion amp; shape features can be achieved by using Background Subtraction and Edge Detection approach.…”
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Edge detection techniques for iris recognition system by Tania, U. T., Motakabber, S. M. A., Ibrahimy, Muhammad Ibn

“…Iris is one of the most reliable organ or part of human body which can be used for identification and authentication purpose. To develop an iris authentication algorithm for personal identification, this paper examines two edge detection techniques for iris recognition system. …”
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Black hole algorithm along edge detector and circular hough transform based iris projection with biometric identification systems by Tara Othman Qadir, Tara Othman Qadir, N.S.A.M Taujuddin, N.S.A.M Taujuddin

“…In this study, we presented a Black Hole Algorithm (BHA) along the Canny edge detector and circular Hough transform-based optimization technique for circular parameter identification of iris segmentation. …”
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Edge detection techniques for iris recognition system by Tania, U T, Motakabber , S. M. A., Ibrahimy, Muhammad Ibn

“…Iris is one of the most reliable organ or part of human body which can be used for identification and authentication purpose. To develop an iris authentication algorithm for personal identification,this paper examines two edge detection techniques for iris recognition system. …”
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Feature Extraction From Epigenetic Traits Using Edge Detection In Iris Recognition System by Zainal Abidin, Zaheera, Manaf, Mazani, Shibghatullah, Abdul Samad

“…Iris recognition is the most accurate biometric identification system on hand. Most iris recognition systems use algorithms developed by Daugman. …”
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Edge link detector based weed classifier by M.H., Siddiqi, I., Ahmad, S., Sulaiman

“…The developed algorithm based on Edge Link Detector has been tested on weeds at various locations, which have shown that the algorithm to be very effectiveness in weed identification. …”
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Sketch-based 3D modeling of symmetric objects from wireframe sketches on paper by Yahya, Zahrah

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Automated transtibial prosthesis alignment: A systematic review by Khamis T., Khamis A.A., Al Kouzbary M., Al Kouzbary H., Mokayed H., Razak N.A.A., Osman N.A.A.

Subjects: “…Algorithms…”

Autonomous Wildlife Deterrent System (AWDS) / Muhammad Afiq Muhammad Nazri ... [et al.] by Muhammad Nazri, Muhammad Afiq, Mohd Hazuhaini, Haekal Erfan, Shaifful Azzwan, Aina Shafiza, Abd Hafidz, Amylea Nadzirah

“…By leveraging advanced detection sensors, artificial intelligence (AI) algorithms, and automated deterrents, the AWDS aims to proactively prevent wildlife from encroaching into human-inhabited areas. …”
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Thermal Imaging Analysis of Potentially Harmful Subject for Night Vision System by Noor Amira Syuhada, Mahamad Salleh, Kamarul Hawari, Ghazali

“…The feature of subject detected is analysed to improve the identification of the existence of the potentially harmful subject. …”
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Latent fingerprint enhancement and segmentation technique based on hybrid edge adaptive DTV model by Yousef A. Baker, El-Ebiary, Abdilahi, Liban, Abdullah, M.A., Othman A. M., Miaikil, Contreras, Jennifer, Hilles, M.M.

“…Image enhancement and segmentation is widely used for fingerprint identification and authorization in biometrics devices, criminal scene is most challenges due to low quality of fingerprint , the most significant efforts is to develop algorithm for latent fingerprint enhancement which become challenging problem due to the complex and existing problem for instance, developing algorithms of latent fingerprint is able to extract features of image blocks and removing overlapping and isolate the poor and noisy background. however, it's still challenging and interested problem specifically latent fingerprint enhancement and segmentation . …”
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Raspberry Pi-Based Finger Vein Recognition System Using PCANet by Quek, Ee Wen

“…The project utilised pre-processing process such as edge detection, orientation correction and Region of Interest (ROI) extraction that have been developed previously. …”
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Crypt Edge Detection Using PSO,Label Matrix And BI-Cubic Interpolation For Better Iris Recognition(PSOLB) by Hashim, Nurul Akmal

“…Recently,there has been renewed interest in iris features detection.Gabor filter,cross entrophy, upport vector,and canny edge detection are methods which produce iris codes in binary codes representation.However,problems have occurred in iris recognition since low quality iris images are created due to blurriness,indoor or outdoor settings, and camera specifications.Failure was detected in 21% of the intra-class comparisons cases which were taken between intervals of three and six months intervals.However,the mismatch or False Rejection Rate (FRR) in iris recognition is still alarmingly high.Higher FRR also causes the value of Equal Error Rate (EER) to be high.The main reason for high values of FRR and EER is that there are changes in the iris due to the amount of light entering into the iris that changes the size of the unique features in the iris.One of the solutions to this problem is by finding any technique or algorithm to automatically detect the unique features.Therefore a new model is introduced which is called Crypt Edge Detection which combines PSO,Label Matrix,and Bi-Cubic Interpolation for Iris Recognition (PSOLB) to solve the problem of detection in iris features.In this research, the unique feature known as crypts has been chosen due to its accessibility and sustainability.Feature detection is performed using particle swarm optimisation (PSO) as an algorithm to select the best iris texture among the unique iris features by finding the pixel values according to the range of selected features.Meanwhile, label matrix will detect the edge of the crypt and the bi-cubic interpolation technique creates sharp and refined crypt images.In order to evaluate the proposed approach,FAR and FRR are measured using Chinese Academy of Sciences' Institute of Automation (CASIA) database for high quality images.For CASIA version 3 image databases, the crypt feature shows that the result of FRR is 21.83% and FAR is 78.17%.The finding from the experiment indicates that by using the PSOLB,the intersection between FAR and FRR produces the Equal Error Rate (EER) with 0.28%,which indicated that equal error rate is lower than previous value, which is 0.38%.Thus,there are advantages from using PSOLB as it has the ability to adapt with unique iris features and use information in iris template features to determine the user.The outcome of this new approach is to reduce the EER rates since lower EER rates can produce accurate detection of unique features.In conclusion,the contribution of PSOLB brings an innovation to the extraction process in the biometric technology and is beneficial to the communities.…”
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Hybrid genetic random forest algorithm for the identification of ISI-indexed articles / Mohammadreza Moohebat by Mohammadreza, Moohebat

“…In this research study, I proposed an automated system for detecting the similarity of an article with well-written academic writing by noticing various term forms. …”
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A preliminary study on automated freshwater algae recognition and classification system / Hayat Mansoor Abdullah by Mansoor Abdullah, Hayat

“…Then, Image segmentation applied by using canny edge detection algorithm with specific morphological operation to isolate the image objects components. …”
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An adept edge detection algorithm for human knee osteoarthritis images by Zahurul S., Zahidul S., Jidin R.

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Computer aided system for dendritic cells detection and counting by Muhd Suberi, Anis Azwani

“…As DCs counting are crucial in most cancer treatment procedures, this research proposes a pioneering system called CasDC (Computer Aided System for Dendritic Cells identification) which implements an image processing algorithm to recognise and count DCs with a label-free method. …”
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Local threshold identification and gray level classification of butt joint welding imperfections using robot vision system by Mohd Shah, Hairol Nizam

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Malaysian license plate number detection based on sobel vertical edge algorithm / Siti Nor Azimah Ibrahim by Ibrahim, Siti Nor Azimah

“…Sobel Vertical Edge Algorithm approach will be used in order to detect the license plate number fi-om digital image as well as some experimental result to filter the detected edge of license plate successfully.…”
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A new vertical edge detection algorithm and its application by Al-Ghaili, Abbas Mohammed Ali, Mashohor, Syamsiah, Ismail, Alyani, Ramli, Abdul Rahman

“…Edge detection is a very important process for many image processing applications, especially in Car License Plate Detection and Recognition Systems(CLPDRS). …”
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