Handwritten identification technique based on wavelet transform

العناوين الأخرى

تقنية التعريف على الخط اليدوي بالاعتماد على التحويل الموجي

مقدم أطروحة جامعية

Husayn, Ali Hadi

مشرف أطروحة جامعية

Ali, Salih Mahdi

الجامعة

جامعة بغداد

الكلية

كلية العلوم

القسم الأكاديمي

قسم علوم الحاسبات

دولة الجامعة

العراق

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2006

الملخص الإنجليزي

In this research, a system that has the ability to recognize and identify persons from his handwriting is designed.

Wavelet transform algorithm was utilized to analyze the individual characters of certain person's writing.

Complex moments is used as tool for the differentiation between different persons.

This involves process that requires isolating the individual characters from the input images, because adopted writing involved series of characters; e.g.

capital English letters "A through Z".

Only the 1st order decomposition level of the wavelet transform is utilized.

This utilization is adopted to perform the recognition and identification process quickly and adequately.

The test was implemented on 40 samples of 10 persons voluntaries.

Some of the samples are used for verification tests.

Minimum distance classifier (based on Euclidian distance) is used to test the similarity or closeness between matched samples.

Three handwriting versions, for each person, has been adopted and used as reference data reserved in the constructed database.

Complex moments of four decomposed sub images (i.e.

LL, LH, HL, HH) are computed and used as featured vectors to be compared in the recognition and identification processes.

The developed system utilized the power of the Visual Basic 6 for performing the required operations involved in our designed system.

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الموضوعات

• حماية البيانات
• معالجة البيانات
• الحواسيب
• برمجيات الحاسوب
• الإجراءات الأمنية

عدد الصفحات

59

قائمة المحتويات

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-605349