Center for Machine Learning and Intelligent Systems 		About  Citation Policy  Donate a Data Set  Contact


Repository Web            Google
View ALL Data Sets

PMU-UD Data Set
Download: Data Folder, Data Set Description

Abstract: The handwritten dataset was collected from 170 participants with a total of 5,180 numeral patterns. The dataset is named Prince Mohammad Bin Fahd University - Urdu/Arabic Database (PMU-UD).

Data Set Characteristics:  

Univariate

Number of Instances:

5180

Area:

Computer

Attribute Characteristics:

N/A

Number of Attributes:

9

Date Donated

2018-08-05

Associated Tasks:

Classification

Missing Values?

N/A

Number of Web Hits:

5223

Source:

Ghazanfar Latif, College of Computer Engineering and Sciences, Prince Mohammad bin Fahd University, Al Khobar, Saudi Arabia. glatif '@' pmu.edu.sa


Data Set Information:

The dataset contains handwritten Urdu/Arabic numerals from 0 to 9


Attribute Information:

The participants were asked to write the numerals from 0-9 five times each. Participants age ranged from 25-55 years old.


Relevant Papers:

Multi-Language Handwritten Digits Recognition based on Novel Structural Features
Jaafar M. Alghazo, Ghazanfar Latif, Loay Alzubaidi1, Ammar Elhassan



Citation Request:

Multi-Language Handwritten Digits Recognition based on Novel Structural Features
Jaafar M. Alghazo, Ghazanfar Latif, Loay Alzubaidi1, Ammar Elhassan, JIST, 2018.

Supported By:

 In Collaboration With:
About  ||  Citation Policy  ||  Donation Policy  ||  Contact  ||  CML