Search Results - (( word segmentation based algorithm ) OR ( java implication force algorithm ))

An evolutionary harmony search algorithm with dominant point detection for recognition-based segmentation of online Arabic text recognition by Moayad, Yousif Potrus, Ngah, Umi Kalthum, Bestoun S. , Ahmed

“…This paper highlights a novel strategy for online Arabic text recognition using a hybrid Genetic Algorithm (GA) and Harmony Search algorithm (HS). The strategy is divided into two phases: text segmentation using dominant point detection, and recognition-based segmentation using GA and HS. …”
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Word segmentation of output response for sign language devices by Za'bah, Nor Farahidah, Muhammad Nazmi, Ahmad Amierul Asyraf, Azman, Amelia Wong

“…Based on the results, the system is able to properly segment words with acceptable accuracy.…”
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Morphological segmentation and analysis of Bangla text by Saha, G C, Saha, Hasi, Che Mat, Ruzinoor, Khan, Nur Hossain, Sarker, Bappa

“…This paper deals with lexicon and system development for word segmentation in Bangla language.Our goal in this paper is to develop a morphological segmentation algorithm that can work well for Bangla and to address the problem of unsupervised word segmentation across different languages.From a hand-corrected Bangla corpus, 5000 popular words were segmented into suffixes, prefixes and roots manually.These were the sample lexicon used as seed for next step. …”
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THE INVESTIGATION ON ARABIC WORD POSE ESTIMATION ALGORITHM AS MARKER FOR AUGMENTED REALITY APPLICATION by Mohd Zailani, Syarah Munirah, Morshidi, Malik Arman

“…The algorithms are tested on a dataset chosen from a few words within Surah Al-Fatihah in the Quran. …”
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Jawi sub-word recognition system using window-based segmentation-free approach / Roslim Mohamad by Mohamad, Roslim

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Malay continuous speech recognition using continuous density hidden Markov model by Ting, Chee Ming

“…The sub-word unit modeling is attempted in Malay phonetic classification and segmentation on medium vocabulary Malay continuous speech database. …”
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Speech Signal Endpoint Detection Using Hidden Markov Models by Ahmed, M. Masroor, Ahmed, Abdul Manan, Othman, Muhamad Razib, Khan, Sheraz

“…This paper discusses a robust algorithm for the detection of speech and silence segments in an input speech signal based on Hidden Markov Models…”
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A review on sentiment analysis model Chinese Weibo text by Dawei Wang, Rayner Alfred

“…Due to emoticon in Weibo text are very useful in sentiment analysis, thus, in data washing, all of Non-Chinese, with "@","#" character should be removed except emoticon. In word segmentation, related algorithms can be divided into three categories: based on string matching, based on understand and based on statistics [1]. …”
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Improving automatic forced alignment for phoneme segmentation in Quranic recitation by Alqadasi, Ammar Mohammed Ali, Khedher, Akram M Z M, Sunar, Mohd Shahrizal, Hj Salam, Md. Sah, Abdulghafor, Rawad, Khaled, Nashwan Abdo

“…In contrast, the proposed algorithm significantly enhances audio segmentation. …”
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New Distance Measures for Arabic Handwritten Text Recognition by El-Bashir, Mohammad Said Mansur

“…The most significant features are extracted by implementing the Principal Components Analysis. A new segmentation-based approach is designed and implemented for the second approach to segment the text into characters, while no or simple segmentation procedure is performed in the first approach. …”
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Automatic image annotation using color segmentation / Siti 'Aisyah Sa'dan by Sa'dan, Siti 'Aisyah

“…This project is implemented using a basic KMeans clustering as the algorithm for color segmentation and using direct technique to annotate the colors with the appropriate words by using predefined colors.…”
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Offline handwriting recognition using Artificial Neural Network and Hidden Markov Model by Tay, Yong Haur

“…The Input space segmentation (INSEG) approach proposes various ways to segment word into characters. …”
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Integrated reconstruction of 2D overlapping coronary artery from x-ray angiography with 3D virtual myocardial model using non-rigid iterative closest point algorithm by Omar, Mahmood Mohammed Ali

“…In other words, it aids the segmentation of coronary arteries in X-ray angiographic images without avoiding angiograms with overlapping vessels. …”
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Handwritten Arabic word recognition: A review of common approaches by Ayyad, Assma O.H., Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha

“…In this paper, different approaches used for handwritten Arabic word recognition were reviewed. An introduction to the Arabic script is given, followed by a description of algorithms for the process involved: segmentation, feature extraction, classification, and recognition. …”
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Extremal region detection and selection with fuzzy encoding for food recognition by Razali @ Ghazali, Mohd Norhisham

“…The performance of algorithms was measured based on classification accuracy, error rate, and precision and recall. …”
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A method for Arabic handwritten diacritics characters by Abdullah, Muhamad Taufik, Alotaibi, Faiz, Azmi Murad, Masrah Azrifah, O.K. Rahmat, Rahmita Wirza, Abdullah, Rusli

“…Moreover, we introduced a new model based on k-nearest neighbors (KNN) algorithm to identify diacritics and characters segmentation. …”
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Development of an intelligent multimodal biometric system for household appliances control by Abiodun musa, Aibinu

“…To this effect, a novel skin segmentation algorithm using artificial neural network (ANN) technique was developed and this was deployed to segment the palmprint and face images from the background. …”
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Ensemble learning using multi-objective optimisation for arabic handwritten words by Ghadhban, Haitham Qutaiba

“…It is a widespread and computationally costly function due to cursive writing, a massive number of words, and writing style. Based on the literature, the existing features lack data supportive techniques and building geometric features. …”
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EEG based communication system in generalized & customized modes for differently abled communities / Paulraj M. P. ...[et al.] by M.P., Paulraj, Adom, Abdul Hamid, Yaacob, Sazali, C.R., Hema, Mohd Muslim Tan, Erdy Sulino, Nataraj, Sathees Kumar

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Design of Predictive Model for TCM Tongue Diagnosis In Malaysia Using Machine Learning by Koe, Jia Chi

“…Mask R-CNN is trained to segment the tongue from the image. The results show that it is able to segment the tongue under different illumination and even if it is blur or not captured exactly from the front of the tongue. 3. …”
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