Zagazig University Digital Repository
Home
Thesis & Publications
All Contents
Publications
Thesis
Graduation Projects
Research Area
Research Area Reports
Search by Research Area
Universities Thesis
ACADEMIC Links
ACADEMIC RESEARCH
Zagazig University Authors
Africa Research Statistics
Google Scholar
Research Gate
Researcher ID
CrossRef
Fingerprint Recognition with Wavelet <via Neural Networks
Faculty
Engineering
Year:
2005
Type of Publication:
Theses
Pages:
97
Authors:
Hanaa Shaker Abdel-Baset Ali
BibID
10577843
Keywords :
Fingerprint
Abstract:
CONCLUSION AND FUTURE WORK6.1 Conclusion• Fingerprint recognition has a good balance of all the desirable properties required for a biometric system. Fingerprints are distinctive, fingerprint details are permanent and fingerprint sensors can easily capture high quality images.• Wavelet transform can be used for fingerprint feature extraction, this is because it analyzes the image in both space and frequency domains.• Fourier transform is not a suitable feature extraction technique for fingerprints. This is because it analyzes the image in frequency domain only.• Feed-forward back propagation networks can be used for fingerprint recognition with good accuracy. They depend on minimizing the error between the output and target feature vectors.• Correlation technique can be used to solve the problem of capturing the fingerprint with different impressions. The similarity between the different impressions for the same person results in a correlation coefficient value close to one.• The distance measure classifier can be used to solve the problem of different impressions for the same person. The distance measure value is approximately zero between the different impressions for the same person.• Minutia-based methods suffer from the problem of false or missed minutia. On the other hand, wavelet transform deals with the rich gray information available in fingerprints, so it is easier and more accurate.6.2 Future WorkThere comes a stage in the development of any biometric recognition system where it becomes increasingly difficult to achieve significantly better performance from a given biometric identifier and the need to explore other sources for improvement becomes a practical necessity. This implies that for the desired performance improvement, we may need to rely on integrating multiple biometrics.
PDF
Author Related Publications
Hanaa Shaker Abdel-Baset Ali, "Fingerprint Recognition with Wavelet
More
Department Related Publications
جامعة المنصورة
جامعة الاسكندرية
جامعة القاهرة
جامعة سوهاج
جامعة الفيوم
جامعة بنها
جامعة دمياط
جامعة بورسعيد
جامعة حلوان
جامعة السويس
شراقوة
جامعة المنيا
جامعة دمنهور
جامعة المنوفية
جامعة أسوان
جامعة جنوب الوادى
جامعة قناة السويس
جامعة عين شمس
جامعة أسيوط
جامعة كفر الشيخ
جامعة السادات
جامعة طنطا
جامعة بنى سويف