A hybrid technique for multifonts numeral recognition
Dissertant
Thesis advisor
Comitee Members
Shatnawi, Umar Ali
Slait, Azzam Talal
Samawi, Venus W.
University
Al albayt University
Faculty
Prince Hussein Bin Abdullah Faculty for Information Technology
Department
Department of Computer Science
University Country
Jordan
Degree
Master
Degree Date
2011
English Abstract
Digits' recognition has become very popular and useful in many fields.
The automatic recognition of typewritten digits can be extremely useful in many applications, where it is necessary to process large volume of data, such as recognition of addresses and postcodes on envelopes.
This thesis presents two methods for enhancing recognition rate for Arabic typewritten digits.
The first is node method that computes number of terminal nodes, and the second is right side method that studies the shape from the right side.
These methods can recognize multi-font digits using two stages; each method produces specific results and then compares these results to obtain the final output.
The recognition of typewritten for multi-font is like recognizing handwritten in complication, since it has multi shape and size.
Therefore, the researcher used two methods for recognizing multi-fonts.
The recognition system contains several steps, starting with image preprocessing, then feature extraction and the last step is classification and recognition.
The recognition of multi-font typewritten is essential.
It is a bit complicated to process, due to the difference in shape and size of the same digit.
Therefore, the researcher used two methods for recognizing multi-fonts.
The recognition system contains several steps, image preprocessing, which includes converting into binary, cropping the digit in single image with resize to 32 x 42 pixels, and thinning the shape of the digit to get the skeleton of the digit.
Feature extraction includes number of terminal nodes from nodes method and two characters to specify the curve of right side of the shape.
The recognition includes logical comparison between two vectors, one from each method.
The proposed technique was implemented and tested, and the experimental results showed that the proposed technique is efficient for recognizing typewritten digits.
The results proved that the technique works properly and is able to give recognition rate for 11 fonts up to 100%, or less for other fonts due to irregularity for some fonts or failing for one of two methods.
The dataset contains multi-size and multi-fonts for the digits from 0 to 9.
Main Subjects
Information Technology and Computer Science
Topics
No. of Pages
59
Table of Contents
Table of contents.
Abstract.
Chapter One : introduction.
Chapter Two : theoretical concepts.
Chapter Three : the proposed technique.
Chapter Four : experimental results.
Chapter Five : conclusions and future work.
References.
American Psychological Association (APA)
al-Bakkar, Muhammad Karim. (2011). A hybrid technique for multifonts numeral recognition. (Master's theses Theses and Dissertations Master). Al albayt University, Jordan
https://search.emarefa.net/detail/BIM-321558
Modern Language Association (MLA)
al-Bakkar, Muhammad Karim. A hybrid technique for multifonts numeral recognition. (Master's theses Theses and Dissertations Master). Al albayt University. (2011).
https://search.emarefa.net/detail/BIM-321558
American Medical Association (AMA)
al-Bakkar, Muhammad Karim. (2011). A hybrid technique for multifonts numeral recognition. (Master's theses Theses and Dissertations Master). Al albayt University, Jordan
https://search.emarefa.net/detail/BIM-321558
Language
English
Data Type
Arab Theses
Record ID
BIM-321558
