Handwritten Digit Recognition Using Various Machine Learning Algorithms and Models
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2020, Vol 8, Issue 4
Abstract
Handwritten digit recognition is a technique or technology for automatically recognizing and detecting handwritten digital data through different Machine Learning models. In this paper we use various Machine Learning algorithms to enhance the productiveness of technique and reduce the complexity using various models. Machine Learning is an application of Artificial Intelligence that learns from previous experience and improves automatically through experience. We illustrate various Machine learning algorithms such as Support Vector Machine, Convolutional Neural Network, Quantum Computing, K-Nearest Neighbor Algorithm, Deep Learning used in Recognition technique.
Authors and Affiliations
Pranit Patil, Bhupinder Kaur
Keywords
Related Articles
- EP ID EP747782
- DOI 10.21276/ijircst.2020.8.4.16
- Views 45
- Downloads 0
IoT Based Sound and Air Pollution Measuring Temperature and Humidity Monitoring System
Now a day in metropolitan cities air and sound pollution becomes serious issues, because of high decibels and toxic gases present within the environment which directly effect on human health and thus needs a special atte...
Analyzing Student’s Academic Performance Based on Data Mining Approach
Career building is the most cherished part of every engineering student. For an engineering graduate it is necessary to have immense knowledge in their domain to get placed in a reputed company. Data Mining is used to ga...
Regression and Classification Model Based Predictive Maintenance of Aircrafts Using Neural Network
One of the key objectives of today's businesses and mills is to predict machine problems. Failures must be avoided, because downtimes represent expensive expenses and a loss of productivity. This is why the number of rem...
Impurities in Edible Oils Forensic Examination
Consumable oils are widely utilized as nondairy spreads and nutritional supplements in their hydrogenated form. While the item's overall quality is primarily determined by its culinary advantages, the inorganic content o...
Review Paper on Data Mining Techniques and Applications
Data mining is the process of extracting hidden and useful patterns and information from data. Data mining is a new technology that helps businesses to predict future trends and behaviors, allowing them to make proactive...