Effective Handwritten Digit Recognition using Deep Convolution Neural Network

International Journal of Advanced Trends in Computer Science and Engineering 2020 Yellapragada SS BharadwajRajaram PSriram V.PSudhakar SKolla Bhanu Prakash

This paper proposed a simple neural network approach towards handwritten digit recognition using convolution. With machine learning algorithms like KNN, SVM/SOM, recognizing digits is considered as one of the unsolvable tasks due to its distinctiveness in the style of writing... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Handwritten Digit Recognition MNIST CNN Accuracy 96.95% # 1

Methods used in the Paper