Browse State-of-the-Art › Handwritten Digit Recognition
Handwritten Digit Recognition
29 papers with code · 2 benchmarks · 7 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| MNIST (2 rows) | CNN | Effective Handwritten Digit Recognition using Deep Convolution... | code | — | Compare |
| Digits (1 row) | LeNet-5 | Gradient-based learning applied to document recognition | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
7 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
29 shown of 29 papers with code (107 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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20 Feb 2019 5 repositories listedIn this paper, we propose a novel method to compute the learning rate for training deep neural networks with stochastic gradient descent.
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22 Apr 2024 2 repositories listedAttribution methods are primarily designed to study the distribution of input component contributions to individual model predictions.
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8 Apr 2020 2 repositories listedIn this letter, we contribute a multi-language handwritten digit recognition dataset named MNIST-MIX, which is the largest dataset of the same type in terms of both languages and data samples.
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11 Mar 2020 2 repositories listed Syntology ran 0 of 6 samples · 6 unverifiedWe discuss the trade-off between model accuracy and resource consumption.
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17 Oct 2015 2 repositories listedGradient backpropagation (BP) requires symmetric feedforward and feedback connections -- the same weights must be used for forward and backward passes.
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10 May 2025 1 repository listedThe LST based on the idea of sharing the weights of one fullyconnected (FC) layer to process all rows of an image.
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18 Mar 2024 1 repository listedIn this work, we present a robust and cost-effective approach that handles multilingual handwritten numeral recognition across a wide range of languages.
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14 Mar 2024 1 repository listedThe proposed model returns a set of prototype subspaces and a relevance vector.
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5 Sep 2023 1 repository listedWe show that by using polynomial building blocks, we can achieve the same accuracy using considerably fewer layers of soft logic than by using linear functions, leading to significant latency and area improvements.
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14 Mar 2023 1 repository listedAir-writing refers to virtually writing linguistic characters through hand gestures in three-dimensional space with six degrees of freedom.
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1 Feb 2023 1 repository listedHerein, we present Stratus, an end-to-end full-stack deep learning application deployed on the cloud.
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30 May 2022 1 repository listedRecognizing handwritten digits is one of the most active research areas in computer vision, as there are a variety of applications, such as automatic identification of digits in bank checks and vehicle numbers.
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11 Jun 2021 1 repository listedBased on this, we propose a general-purpose deep clustering framework which radically integrates representation learning and clustering into a single pipeline for the first time.
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14 Mar 2021 1 repository listedHandwritten digit or numeral recognition is one of the classical issues in the area of pattern recognition and has seen tremendous advancement because of the recent wide availability of computing resources.
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1 Mar 2021 1 repository listedThis article presents the first results from using a learning classifier system capable of performing adaptive computation with deep neural networks.
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18 Dec 2020 1 repository listedPrevious work has shown that it is possible to train neuronal cultures on Multi-Electrode Arrays (MEAs), to recognize very simple patterns.
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15 Dec 2020 1 repository listedClassification of quantum data is essential for quantum machine learning and near-term quantum technologies.
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26 Jun 2020 1 repository listedTo improve the performance of the Bangla handwritten digit recognition system, we have designed a model, in which all basic Bangla digits have been classified.
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30 Apr 2020 1 repository listedThis paper proposed a simple neural network approach towards handwritten digit recognition using convolution.
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20 Dec 2019 1 repository listedExecuting deep neural networks for inference on the server-class or cloud backend based on data generated at the edge of Internet of Things is desirable due primarily to the limited compute power of edge devices and the…
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10 Jun 2019 1 repository listedBDNet is a densely connected deep convolutional neural network model used to classify (recognize) Bengali handwritten numeral digits.
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28 Feb 2018 1 repository listedWe propose an interpretable deep structure namely Frank-Wolfe Network (F-W Net), whose architecture is inspired by unrolling and truncating the Frank-Wolfe algorithm for solving an Lₚ-norm constrained problem with p≥1.
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22 Feb 2018 1 repository listedThis paper is under consideration for acceptance in
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3 May 2017 1 repository listedWe present a specialized verification algorithm that employs this approximation in a search process in which it infers additional node phases for the non-linear nodes in the network from partial node phase assignments,…
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2 Jul 2016 1 repository listedIn this paper, we consider the joint task of simultaneously optimizing (i) the weights of a deep neural network, (ii) the number of neurons for each hidden layer, and (iii) the subset of active input features (i.
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9 Oct 2015 1 repository listedFaced with continuously increasing scale of data, original back-propagation neural network based machine learning algorithm presents two non-trivial challenges: huge amount of data makes it difficult to maintain both…
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21 Jul 2015 1 repository listedThe architecture is not limited to handwriting recognition, but is generally applicable as an extremely fast pattern recognition processor for various kinds of patterns such as speech and images.
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1 Mar 2010 1 repository listedGood old on-line back-propagation for plain multi-layer perceptrons yields a very low 0.
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1 Nov 1998 1 repository listedIt uses convolutional neural network character recognizers combined with global training techniques to provide record accuracy on business and personal cheques.
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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