Artículos de revistas sobre el tema "Handwritten characters"
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Jehangir, Sardar, Sohail Khan, Sulaiman Khan, Shah Nazir y Anwar Hussain. "Zernike Moments Based Handwritten Pashto Character Recognition Using Linear Discriminant Analysis". January 2021 40, n.º 1 (1 de enero de 2021): 152–59. http://dx.doi.org/10.22581/muet1982.2101.14.
Texto completoZhu, Cheng Hui, Wen Jun Xu, Jian Ping Wang y Xiao Bing Xu. "Research on a Characteristic Extraction Algorithm Based on Analog Space-Time Process for Off-Line Handwritten Chinese Characters". Advanced Materials Research 433-440 (enero de 2012): 3649–55. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.3649.
Texto completoKhan, Sulaiman, Habib Ullah Khan y Shah Nazir. "Offline Pashto Characters Dataset for OCR Systems". Security and Communication Networks 2021 (27 de julio de 2021): 1–7. http://dx.doi.org/10.1155/2021/3543816.
Texto completoMALIK, LATESH y P. S. DESHPANDE. "RECOGNITION OF HANDWRITTEN DEVANAGARI SCRIPT". International Journal of Pattern Recognition and Artificial Intelligence 24, n.º 05 (agosto de 2010): 809–22. http://dx.doi.org/10.1142/s0218001410008123.
Texto completoAmulya, K., Lakshmi Reddy, M. Chandara Kumar y Rachana D. "A Survey on Digitization of Handwritten Notes in Kannada". International Journal of Innovative Technology and Exploring Engineering 12, n.º 1 (30 de diciembre de 2022): 6–11. http://dx.doi.org/10.35940/ijitee.a9350.1212122.
Texto completoKhan, Majid A., Nazeeruddin Mohammad, Ghassen Ben Brahim, Abul Bashar y Ghazanfar Latif. "Writer verification of partially damaged handwritten Arabic documents based on individual character shapes". PeerJ Computer Science 8 (20 de abril de 2022): e955. http://dx.doi.org/10.7717/peerj-cs.955.
Texto completoWijaya, Aditya Surya, Nurul Chamidah y Mayanda Mega Santoni. "Pengenalan Karakter Tulisan Tangan Dengan K-Support Vector Nearest Neighbor". IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) 9, n.º 1 (30 de abril de 2019): 33. http://dx.doi.org/10.22146/ijeis.38729.
Texto completoRevathi, Buddaraju, M. V. D. Prasad y Naveen Kishore Gattim. "Computationally efficient handwritten Telugu text recognition". Indonesian Journal of Electrical Engineering and Computer Science 34, n.º 3 (1 de junio de 2024): 1618. http://dx.doi.org/10.11591/ijeecs.v34.i3.pp1618-1626.
Texto completoZhang, Yan y Liumei Zhang. "SGooTY: A Scheme Combining the GoogLeNet-Tiny and YOLOv5-CBAM Models for Nüshu Recognition". Electronics 12, n.º 13 (26 de junio de 2023): 2819. http://dx.doi.org/10.3390/electronics12132819.
Texto completoBhat, Mohammad Idrees y B. Sharada. "Spectral Graph-based Features for Recognition of Handwritten Characters: A Case Study on Handwritten Devanagari Numerals". Journal of Intelligent Systems 29, n.º 1 (21 de julio de 2018): 799–813. http://dx.doi.org/10.1515/jisys-2017-0448.
Texto completoZhao, Yuliang, Xinyue Zhang, Boya Fu, Zhikun Zhan, Hui Sun, Lianjiang Li y Guanglie Zhang. "Evaluation and Recognition of Handwritten Chinese Characters Based on Similarities". Applied Sciences 12, n.º 17 (25 de agosto de 2022): 8521. http://dx.doi.org/10.3390/app12178521.
Texto completoWadaskar, Ghanshyam, Vipin Bopanwar, Prayojita Urade, Shravani Upganlawar y Prof Rakhi Shende. "Handwritten Character Recognition". International Journal for Research in Applied Science and Engineering Technology 11, n.º 12 (31 de diciembre de 2023): 508–11. http://dx.doi.org/10.22214/ijraset.2023.57366.
Texto completoSomashekar, Thatikonda. "A Survey on Handwritten Character Recognition using Machine Learning Technique". Journal of University of Shanghai for Science and Technology 23, n.º 06 (18 de junio de 2021): 1019–24. http://dx.doi.org/10.51201/jusst/21/05304.
Texto completoKanmani, Dr S., B. Sujitha, K. Subalakshmi, S. Umamaheswari y Karimreddy Punya Sai Teja Reddy. "Off-Line and Online Handwritten Character Recognition Using RNN-GRU Algorithm". International Journal for Research in Applied Science and Engineering Technology 11, n.º 4 (30 de abril de 2023): 2518–26. http://dx.doi.org/10.22214/ijraset.2023.50184.
Texto completoTeja, K. Sai. "Hindi-Handwritten-Character- Recognition using Deep Learning". International Journal for Research in Applied Science and Engineering Technology 11, n.º 7 (31 de julio de 2023): 369–73. http://dx.doi.org/10.22214/ijraset.2023.54606.
Texto completoMahto, Manoj Kumar, Karamjit Bhatia y Rajendra Kumar Sharma. "Deep Learning Based Models for Offline Gurmukhi Handwritten Character and Numeral Recognition". ELCVIA Electronic Letters on Computer Vision and Image Analysis 20, n.º 2 (18 de enero de 2022): 69–82. http://dx.doi.org/10.5565/rev/elcvia.1282.
Texto completoAlwaqfi, Yazan, Mumtazimah Mohamad y Ahmad Al-Taani. "Generative Adversarial Network for an Improved Arabic Handwritten Characters Recognition". International Journal of Advances in Soft Computing and its Applications 14, n.º 1 (28 de marzo de 2022): 177–95. http://dx.doi.org/10.15849/ijasca.220328.12.
Texto completoYadav, Bharati, Ajay Indian y Gaurav Meena. "HDevChaRNet: A deep learning-based model for recognizing offline handwritten devanagari characters". Journal of Autonomous Intelligence 6, n.º 2 (15 de agosto de 2023): 679. http://dx.doi.org/10.32629/jai.v6i2.679.
Texto completoLin, Cheng-Jian, Yu-Cheng Liu y Chin-Ling Lee. "Automatic Receipt Recognition System Based on Artificial Intelligence Technology". Applied Sciences 12, n.º 2 (14 de enero de 2022): 853. http://dx.doi.org/10.3390/app12020853.
Texto completoHuang, Juanjuan, Ihtisham Ul Haq, Chaolan Dai, Sulaiman Khan, Shah Nazir y Muhammad Imtiaz. "Isolated Handwritten Pashto Character Recognition Using a K-NN Classification Tool based on Zoning and HOG Feature Extraction Techniques". Complexity 2021 (24 de marzo de 2021): 1–8. http://dx.doi.org/10.1155/2021/5558373.
Texto completoSuthar, Sanket B. y Amit R. Thakkar. "CNN-Based Optical Character Recognition for Isolated Printed Gujarati Characters and Handwritten Numerals". International Journal of Mathematical, Engineering and Management Sciences 7, n.º 5 (1 de octubre de 2022): 643–55. http://dx.doi.org/10.33889/ijmems.2022.7.5.042.
Texto completoNaidu, D. J. Samatha y T. Mahammad Rafi. "HANDWRITTEN CHARACTER RECOGNITION USING CONVOLUTIONAL NEURAL NETWORKS". International Journal of Computer Science and Mobile Computing 10, n.º 8 (30 de agosto de 2021): 41–45. http://dx.doi.org/10.47760/ijcsmc.2021.v10i08.007.
Texto completoDevi, N. "Offline Handwritten Character Recognition using Convolutional Neural Network". International Journal for Research in Applied Science and Engineering Technology 9, n.º 8 (31 de agosto de 2021): 1483–89. http://dx.doi.org/10.22214/ijraset.2021.37610.
Texto completoSharma, Kartik, S. V. Jagadeesh Kona, Anshul Jangwal, Aarthy M, Prayline Rajabai C y Deepika Rani Sona. "Handwritten Digits and Optical Characters Recognition". International Journal on Recent and Innovation Trends in Computing and Communication 11, n.º 4 (4 de mayo de 2023): 20–24. http://dx.doi.org/10.17762/ijritcc.v11i4.6376.
Texto completoLee, Hahn-Ming, Chin-Chou Lin y Jyh-Ming Chen. "A Preclassification Method for Handwritten Chinese Character Recognition Via Fuzzy Rules and Seart Neural Net". International Journal of Pattern Recognition and Artificial Intelligence 12, n.º 06 (septiembre de 1998): 743–61. http://dx.doi.org/10.1142/s0218001498000427.
Texto completoAhsan, Shahrukh, Shah Tarik Nawaz, Talha Bin Sarwar, M. Saef Ullah Miah y Abhijit Bhowmik. "A machine learning approach for Bengali handwritten vowel character recognition". IAES International Journal of Artificial Intelligence (IJ-AI) 11, n.º 3 (1 de septiembre de 2022): 1143. http://dx.doi.org/10.11591/ijai.v11.i3.pp1143-1152.
Texto completoAsraful, Md, Md Anwar Hossain y Ebrahim Hossen. "Handwritten Bengali Alphabets, Compound Characters and Numerals Recognition Using CNN-based Approach". Annals of Emerging Technologies in Computing 7, n.º 3 (1 de julio de 2023): 60–77. http://dx.doi.org/10.33166/aetic.2023.03.003.
Texto completoNing, Zihao. "Research on Handwritten Chinese Character Recognition Based on BP Neural Network". Modern Electronic Technology 6, n.º 1 (23 de junio de 2022): 12. http://dx.doi.org/10.26549/met.v6i1.11359.
Texto completoKhatri, Suman y Irphan Ali. "Hindi Numeral Recognition using Neural Network". International Journal of Advance Research and Innovation 1, n.º 3 (2013): 29–39. http://dx.doi.org/10.51976/ijari.131304.
Texto completoJbrail, Mohammed Widad y Mehmet Emin Tenekeci. "Character Recognition of Arabic Handwritten Characters Using Deep Learning". Journal of Studies in Science and Engineering 2, n.º 1 (19 de marzo de 2022): 32–40. http://dx.doi.org/10.53898/josse2022213.
Texto completoAmin, Muhammad Sadiq, Siddiqui Muhammad Yasir y Hyunsik Ahn. "Recognition of Pashto Handwritten Characters Based on Deep Learning". Sensors 20, n.º 20 (17 de octubre de 2020): 5884. http://dx.doi.org/10.3390/s20205884.
Texto completoSiddiqui, Sayma Shafeeque A. W., Rajashri G. Kanke, Ramnath M. Gaikwad y Manasi R. Baheti. "Review on Isolated Urdu Character Recognition: Offline Handwritten Approach". International Journal for Research in Applied Science and Engineering Technology 11, n.º 8 (31 de agosto de 2023): 384–88. http://dx.doi.org/10.22214/ijraset.2023.55164.
Texto completoN S, Aswin. "Malayalam Handwritten Words Recognition: A Review". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, n.º 04 (6 de abril de 2024): 1–5. http://dx.doi.org/10.55041/ijsrem30057.
Texto completoPremachandra, H. Waruna H., Maika Yamada, Chinthaka Premachandra y Hiroharu Kawanaka. "Low-Computational-Cost Algorithm for Inclination Correction of Independent Handwritten Digits on Microcontrollers". Electronics 11, n.º 7 (29 de marzo de 2022): 1073. http://dx.doi.org/10.3390/electronics11071073.
Texto completoDevaraj, Anjali Yogesh, Anup S. Jain, Omisha N y Shobana TS. "Kannada Text Recognition". International Journal for Research in Applied Science and Engineering Technology 10, n.º 9 (30 de septiembre de 2022): 73–78. http://dx.doi.org/10.22214/ijraset.2022.46520.
Texto completoLi, Ling Hua, Shou Fang Mi y Heng Bo Zhang. "Template-Based Handwritten Numeric Character Recognition". Advanced Materials Research 586 (noviembre de 2012): 384–88. http://dx.doi.org/10.4028/www.scientific.net/amr.586.384.
Texto completoLi, Kangying, Biligsaikhan Batjargal y Akira Maeda. "A Prototypical Network-Based Approach for Low-Resource Font Typeface Feature Extraction and Utilization". Data 6, n.º 12 (16 de diciembre de 2021): 134. http://dx.doi.org/10.3390/data6120134.
Texto completoHe, Rong. "Skeletonization of broken handwritten characters". Optical Engineering 39, n.º 11 (1 de noviembre de 2000): 2882. http://dx.doi.org/10.1117/1.1315024.
Texto completoSrinivasa Chakravarthy, V. y Bhaskar Kompella. "The shape of handwritten characters". Pattern Recognition Letters 24, n.º 12 (agosto de 2003): 1901–13. http://dx.doi.org/10.1016/s0167-8655(03)00017-5.
Texto completoSrivastav, Ankita y Neha Sahu. "Segmentation of Devanagari Handwritten Characters". International Journal of Computer Applications 142, n.º 14 (18 de mayo de 2016): 15–18. http://dx.doi.org/10.5120/ijca2016909994.
Texto completoVaidehi K. y Manivannan R. "Automated Math Symbol Classification Using SVM". International Journal of e-Collaboration 18, n.º 2 (1 de marzo de 2022): 1–14. http://dx.doi.org/10.4018/ijec.304037.
Texto completoAli, Aree y Bayan Omer. "Invarianceness for Character Recognition Using Geo-Discretization Features". Computer and Information Science 9, n.º 2 (17 de marzo de 2016): 1. http://dx.doi.org/10.5539/cis.v9n2p1.
Texto completoR, Mr Venkatesh. "Handwritten Telugu Character Recognition & Signature Verification". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, n.º 04 (28 de abril de 2024): 1–5. http://dx.doi.org/10.55041/ijsrem31955.
Texto completoHA, JIN-YOUNG, SE-CHANG OH y JIN H. KIM. "RECOGNITION OF UNCONSTRAINED HANDWRITTEN ENGLISH WORDS WITH CHARACTER AND LIGATURE MODELING". International Journal of Pattern Recognition and Artificial Intelligence 09, n.º 03 (junio de 1995): 535–56. http://dx.doi.org/10.1142/s0218001495000511.
Texto completoFirdous, Arusa, Neha Pawar, Muheet Ahmed Butt y Majid Zaman. "Review of Optical Character Recognition Techniques& Applications". International Journal of Advanced Research in Computer Science and Software Engineering 7, n.º 7 (30 de julio de 2017): 206. http://dx.doi.org/10.23956/ijarcsse/v7i7/0158.
Texto completoRehman, Muhammad Zubair, Nazri Mohd. Nawi, Mohammad Arshad y Abdullah Khan. "Recognition of Cursive Pashto Optical Digits and Characters with Trio Deep Learning Neural Network Models". Electronics 10, n.º 20 (15 de octubre de 2021): 2508. http://dx.doi.org/10.3390/electronics10202508.
Texto completoKumar, J. y A. Roy. "DograNet – a comprehensive offline dogra handwriting character dataset". Journal of Physics: Conference Series 2251, n.º 1 (1 de abril de 2022): 012008. http://dx.doi.org/10.1088/1742-6596/2251/1/012008.
Texto completoDas, Mamatarani, Mrutyunjaya Panda y Shreela Dash. "Enhancing the Power of CNN Using Data Augmentation Techniques for Odia Handwritten Character Recognition". Advances in Multimedia 2022 (22 de diciembre de 2022): 1–13. http://dx.doi.org/10.1155/2022/6180701.
Texto completoUddin, Imran, Dzati A. Ramli, Abdullah Khan, Javed Iqbal Bangash, Nosheen Fayyaz, Asfandyar Khan y Mahwish Kundi. "Benchmark Pashto Handwritten Character Dataset and Pashto Object Character Recognition (OCR) Using Deep Neural Network with Rule Activation Function". Complexity 2021 (4 de marzo de 2021): 1–16. http://dx.doi.org/10.1155/2021/6669672.
Texto completoNISHIDA, HIROBUMI y SHUNJI MORI. "A MODEL-BASED SPLIT-AND-MERGE METHOD FOR CHARACTER STRING RECOGNITION". International Journal of Pattern Recognition and Artificial Intelligence 08, n.º 05 (octubre de 1994): 1205–22. http://dx.doi.org/10.1142/s0218001494000607.
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