Artículos de revistas sobre el tema "Devanagari online handwritten characters"
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Ghosh, Rajib y Prabhat Kumar. "SVM and HMM Classifier Combination Based Approach for Online Handwritten Indic Character Recognition". Recent Advances in Computer Science and Communications 13, n.º 2 (3 de junio de 2020): 200–214. http://dx.doi.org/10.2174/2213275912666181127124711.
Texto completoA., Bharath y Sriganesh Madhvanath. "Allograph modeling for online handwritten characters in devanagari using constrained stroke clustering". ACM Transactions on Asian Language Information Processing 13, n.º 3 (3 de octubre de 2014): 1–21. http://dx.doi.org/10.1145/2629622.
Texto completoSANTOSH, K. C., CHOLWICH NATTEE y BART LAMIROY. "RELATIVE POSITIONING OF STROKE-BASED CLUSTERING: A NEW APPROACH TO ONLINE HANDWRITTEN DEVANAGARI CHARACTER RECOGNITION". International Journal of Image and Graphics 12, n.º 02 (abril de 2012): 1250016. http://dx.doi.org/10.1142/s0219467812500167.
Texto completoSamanta, Roopkatha, Soulib Ghosh, Agneet Chatterjee y Ram Sarkar. "A Novel Approach Towards Handwritten Digit Recognition Using Refraction Property of Light Rays". International Journal of Computer Vision and Image Processing 10, n.º 3 (julio de 2020): 1–17. http://dx.doi.org/10.4018/ijcvip.2020070101.
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 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 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 completoPadmaja, Kannuru. "Devanagari Handwritten Character Recognition Using Deep Learning". International Journal for Research in Applied Science and Engineering Technology 10, n.º 1 (31 de enero de 2022): 102–5. http://dx.doi.org/10.22214/ijraset.2022.39744.
Texto completoKapoor, Shuchi y Vivek Verma. "Fragmentation of Handwritten Touching Characters in Devanagari Script". International Journal of Information Technology, Modeling and Computing 2, n.º 1 (28 de febrero de 2014): 11–21. http://dx.doi.org/10.5121/ijitmc.2014.2102.
Texto completoDeore, Shalaka P. "DHCR_SmartNet: A smart Devanagari Handwritten Character Recognition using Level-wised CNN Architecture". Computer Science 23, n.º 3 (2 de octubre de 2022): 303. http://dx.doi.org/10.7494/csci.2022.23.3.4487.
Texto completoPrabhanjan, S. y R. Dinesh. "Deep Learning Approach for Devanagari Script Recognition". International Journal of Image and Graphics 17, n.º 03 (julio de 2017): 1750016. http://dx.doi.org/10.1142/s0219467817500164.
Texto completoBisht, Mamta y Richa Gupta. "Multiclass Recognition of Offline Handwritten Devanagari Characters using CNN". International Journal of Mathematical, Engineering and Management Sciences 5, n.º 6 (1 de diciembre de 2020): 1429–39. http://dx.doi.org/10.33889/ijmems.2020.5.6.106.
Texto completoMore, Vijay y Madan Kharat. "Segmentation of Lines and Words of Handwritten Devanagari Text using Connected Components with Statistics Method". Journal of Scientific Research 66, n.º 02 (2022): 179–88. http://dx.doi.org/10.37398/jsr.2022.660224.
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 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 completoSingh, Pratibha, Ajay Verma y Narendra S. Chaudhari. "On the Performance Improvement of Devanagari Handwritten Character Recognition". Applied Computational Intelligence and Soft Computing 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/193868.
Texto completoJangid, Mahesh y Sumit Srivastava. "Handwritten Devanagari Similar Character Recognition by Fisher Linear Discriminant and Pairwise Classification". International Journal of Image and Graphics 18, n.º 04 (octubre de 2018): 1850022. http://dx.doi.org/10.1142/s0219467818500225.
Texto completoR.Birajdar, Deepali y Manasi M.Patil. "Recognition of Off-Line Handwritten Devanagari Characters using Combinational Feature Extraction". International Journal of Computer Applications 120, n.º 3 (18 de junio de 2015): 1–4. http://dx.doi.org/10.5120/21204-3883.
Texto completoGuha, Riya, Nibaran Das, Mahantapas Kundu, Mita Nasipuri y K. C. Santosh. "DevNet: An Efficient CNN Architecture for Handwritten Devanagari Character Recognition". International Journal of Pattern Recognition and Artificial Intelligence 34, n.º 12 (30 de abril de 2020): 2052009. http://dx.doi.org/10.1142/s0218001420520096.
Texto completoNaik, Vishal A. y Apurva A. Desai. "Online Handwritten Gujarati Word Recognition". International Journal of Computer Vision and Image Processing 9, n.º 1 (enero de 2019): 35–50. http://dx.doi.org/10.4018/ijcvip.2019010103.
Texto completoEkbote, Maitreyi, Aishwary Jadhav y Dayanand Ambawade. "Implementing a Hybrid Deep Learning Approach to Achieve Classic Handwritten Alphanumeric MODI Recognition". International Journal of Engineering and Advanced Technology 12, n.º 1 (30 de octubre de 2022): 58–62. http://dx.doi.org/10.35940/ijeat.a3846.1012122.
Texto completoNarang, Sonika Rani, M. K. Jindal, Shruti Ahuja y Munish Kumar. "On the recognition of Devanagari ancient handwritten characters using SIFT and Gabor features". Soft Computing 24, n.º 22 (7 de mayo de 2020): 17279–89. http://dx.doi.org/10.1007/s00500-020-05018-z.
Texto completoS, Prabhanjan y R. Dinesh. "Handwritten Devanagari Characters and Numeral Recognition using Multi-Region Uniform Local Binary Pattern". International Journal of Multimedia and Ubiquitous Engineering 11, n.º 3 (31 de marzo de 2016): 387–98. http://dx.doi.org/10.14257/ijmue.2016.11.3.37.
Texto completoSusan, Seba y Jatin Malhotra. "Recognising Devanagari Script by Deep Structure Learning of Image Quadrants". DESIDOC Journal of Library & Information Technology 40, n.º 05 (4 de noviembre de 2020): 268–71. http://dx.doi.org/10.14429/djlit.40.05.16336.
Texto completoMoharkar, Lalita, Sudhanshu Varun, Apurva Patil y Abhishek Pal. "A scene perception system for visually impaired based on object detection and classification using CNN". ITM Web of Conferences 32 (2020): 03039. http://dx.doi.org/10.1051/itmconf/20203203039.
Texto completoShirkande, Prof Aparna S., Sakshi S. Sawant, Neha V. Shinde y Sharanya S. Rao. "Study on the OCR of the Devanagari script using CNN". International Journal for Research in Applied Science and Engineering Technology 10, n.º 9 (30 de septiembre de 2022): 1502–6. http://dx.doi.org/10.22214/ijraset.2022.46874.
Texto completoGupta, Deepika y Soumen Bag. "Holistic versus segmentation-based recognition of handwritten Devanagari conjunct characters: a CNN-based experimental study". Neural Computing and Applications 34, n.º 7 (10 de enero de 2022): 5665–81. http://dx.doi.org/10.1007/s00521-021-06672-6.
Texto completoDargan, Shaveta, Munish Kumar, Anupam Garg y Kutub Thakur. "Writer identification system for pre-segmented offline handwritten Devanagari characters using k-NN and SVM". Soft Computing 24, n.º 13 (14 de noviembre de 2019): 10111–22. http://dx.doi.org/10.1007/s00500-019-04525-y.
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 completoGhosh, Rajib, Chirumavila Vamshi y Prabhat Kumar. "RNN based online handwritten word recognition in Devanagari and Bengali scripts using horizontal zoning". Pattern Recognition 92 (agosto de 2019): 203–18. http://dx.doi.org/10.1016/j.patcog.2019.03.030.
Texto completoMa, Ming, Dong-Won Park, Soo Kyun Kim y Syungog An. "Online Recognition of Handwritten Korean and English Characters". Journal of Information Processing Systems 8, n.º 4 (31 de diciembre de 2012): 653–68. http://dx.doi.org/10.3745/jips.2012.8.4.653.
Texto completoMehta, Abhishek, Subhashchandra Desai y Ashish Chaturvedi. "Handwritten Hindi Character Recognition Using Layer-Wise Training of Deep Convolutional Neural Networks". International Journal of Information Systems and Informatics 1, n.º 1 (14 de octubre de 2020): 1–15. http://dx.doi.org/10.47747/ijisi.v1i1.77.
Texto completoZeng, Wei, XiangXu Meng, ChengLei Yang y Lei Huang. "Feature extraction for online handwritten characters using Delaunay triangulation". Computers & Graphics 30, n.º 5 (octubre de 2006): 779–86. http://dx.doi.org/10.1016/j.cag.2006.07.007.
Texto completoSen, Shibaprasad, Mridul Mitra, Ankan Bhattacharyya, Ram Sarkar, Friedhelm Schwenker y Kaushik Roy. "Feature Selection for Recognition of Online Handwritten Bangla Characters". Neural Processing Letters 50, n.º 3 (27 de febrero de 2019): 2281–304. http://dx.doi.org/10.1007/s11063-019-10010-2.
Texto completoHasan, Md Al Mehedi, Jungpil Shin y Md Maniruzzaman. "Online Kanji Characters Based Writer Identification Using Sequential Forward Floating Selection and Support Vector Machine". Applied Sciences 12, n.º 20 (12 de octubre de 2022): 10249. http://dx.doi.org/10.3390/app122010249.
Texto completoKaur, Rajandeep, Rajneesh Rani y Roop Pahuja. "Text-Dependent and Text-Independent Writer Identification Approaches". International Journal of Software Innovation 10, n.º 1 (enero de 2022): 1–23. http://dx.doi.org/10.4018/ijsi.297514.
Texto completoBisht, Mamta y Richa Gupta. "Fine-Tuned Pre-Trained Model for Script Recognition". International Journal of Mathematical, Engineering and Management Sciences 6, n.º 5 (1 de octubre de 2021): 1297–314. http://dx.doi.org/10.33889/ijmems.2021.6.5.078.
Texto completoSEN, AMRIK, G. ANANTHAKRISHNAN, SURESH SUNDARAM y A. G. RAMAKRISHNAN. "DYNAMIC SPACE WARPING OF STROKES FOR RECOGNITION OF ONLINE HANDWRITTEN CHARACTERS". International Journal of Pattern Recognition and Artificial Intelligence 23, n.º 05 (agosto de 2009): 925–43. http://dx.doi.org/10.1142/s0218001409007375.
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 completoDeore, Shalaka y Albert Pravin. "Histogram of Oriented Gradients Based Off-Line Handwritten Devanagari Characters Recognition Using SVM, K-NN and NN Classifiers". Revue d'Intelligence Artificielle 33, n.º 6 (30 de diciembre de 2019): 441–46. http://dx.doi.org/10.18280/ria.330606.
Texto completoBOUSLAMA, FAOUZI. "STRUCTURAL AND FUZZY TECHNIQUES IN THE RECOGNITION OF ONLINE ARABIC CHARACTERS". International Journal of Pattern Recognition and Artificial Intelligence 13, n.º 07 (noviembre de 1999): 1027–40. http://dx.doi.org/10.1142/s0218001499000574.
Texto completoAbuzaraida, Mustafa Ali, Mohammed Elmehrek y Esam Elsomadi. "Online handwriting Arabic recognition system using k-nearest neighbors classifier and DCT features". International Journal of Electrical and Computer Engineering (IJECE) 11, n.º 4 (1 de agosto de 2021): 3584. http://dx.doi.org/10.11591/ijece.v11i4.pp3584-3592.
Texto completoSingh, Harjeet, R. K. Sharma, V. P. Singh y Munish Kumar. "Recognition of online handwritten Gurmukhi characters using recurrent neural network classifier". Soft Computing 25, n.º 8 (10 de febrero de 2021): 6329–38. http://dx.doi.org/10.1007/s00500-021-05620-9.
Texto completoRen, Haiqing, Weiqiang Wang y Chenglin Liu. "Recognizing online handwritten Chinese characters using RNNs with new computing architectures". Pattern Recognition 93 (septiembre de 2019): 179–92. http://dx.doi.org/10.1016/j.patcog.2019.04.015.
Texto completoYang, Liping y Ramjee Prasad. "Online recognition of handwritten characters using differential angles and structural descriptors". Pattern Recognition Letters 14, n.º 12 (diciembre de 1993): 1019–24. http://dx.doi.org/10.1016/0167-8655(93)90010-b.
Texto completoZhong, Yingna, Kauthar Mohd Daud, Ain Najiha Binti Mohamad Nor, Richard Adeyemi Ikuesan y Kohbalan Moorthy. "Offline Handwritten Chinese Character Using Convolutional Neural Network: State-of-the-Art Methods". Journal of Advanced Computational Intelligence and Intelligent Informatics 27, n.º 4 (20 de julio de 2023): 567–75. http://dx.doi.org/10.20965/jaciii.2023.p0567.
Texto completoGhosh, Rajib, Partha Pratim Roy y Prabhat Kumar. "Smart Device Authentication Based on Online Handwritten Script Identification and Word Recognition in Indic Scripts Using Zone-Wise Features". International Journal of Information System Modeling and Design 9, n.º 1 (enero de 2018): 21–55. http://dx.doi.org/10.4018/ijismd.2018010102.
Texto completoChang, Yun, Jia Lee, Omar Rijal y Syed Bakar. "Efficient online handwritten Chinese character recognition system using a two-dimensional functional relationship model". International Journal of Applied Mathematics and Computer Science 20, n.º 4 (1 de diciembre de 2010): 727–38. http://dx.doi.org/10.2478/v10006-010-0055-x.
Texto completoSingh, Mandeep, Karun Verma, Bob Gill y Ramandeep Kaur. "Online Handwritten Gurmukhi Character Recognition using Hybrid Feature Set". International Journal of Engineering & Technology 7, n.º 3.4 (25 de junio de 2018): 90. http://dx.doi.org/10.14419/ijet.v7i3.4.16753.
Texto completoPei, Leisi y Guang Ouyang. "Online recognition of handwritten characters from scalp-recorded brain activities during handwriting". Journal of Neural Engineering 18, n.º 4 (28 de mayo de 2021): 046070. http://dx.doi.org/10.1088/1741-2552/ac01a0.
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