Verification of static signature using convolutional neural network

Ахунджанов, Умиджон

Al-Farg'oniy avlodlari · 2023-yil

Annotatsiya

This article is devoted to the development of a method that provides verification of handwritten signatures based on real samples obtained by scanning with a resolution of 800 dpi. Handwritten signature remains one of the most common identification methods and consideration of the problems of this promising area contributes to the search for a solution to this problem One of the main stages of recognition is classification. This article describes the results of handwritten signature recognition using a convolutional neural network. A database of handwritten signatures of 10 people was used for experiments. The signatures are digitized as color images with a resolution of 850×550 pixels. There are 10 genuine and 10 fake signatures for each person. Experiments were carried out with the reduction of signatures to the size 128×128, 256×256, 512×512 pixels. As a result of the study of this model, it has shown its effectiveness and practical suitability for use in biometric identification systems.

Maqola ma’lumotlari
MualliflarАхунджанов, Умиджон
JurnalAl-Farg'oniy avlodlari
NashriyotТАТУ Фарғона филиали
ISSN2181-4252
Nashr sanasi2023-12-11
Son4
Betlar70-74
TilIngliz
Ilmiy sohaTexnika
Indeksga qo‘shilgan2026-08-26

Maqolaning asl sahifasi

Kalit so‘zlar

Recognition, verification, handwritten signature, classification, False Rejection Rate (FRR), False Acceptance Rate (FAR)., Recognition, verification, handwritten signature, classification, False Rejection Rate (FRR), False Acceptance Rate (FAR)

Ilmiy soha

Texnika

Iqtibos keltirish

APAАхунджанов, Умиджон (2023). VERIFICATION OF STATIC SIGNATURE USING CONVOLUTIONAL NEURAL NETWORK. Al-Farg'oniy avlodlari, (4), 70-74. https://al-fargoniy.uz/index.php/journal/article/view/161
GOST (OAK)Ахунджанов, Умиджон VERIFICATION OF STATIC SIGNATURE USING CONVOLUTIONAL NEURAL NETWORK // Al-Farg'oniy avlodlari. – 2023. – № 4. – P. 70-74.
MLAАхунджанов, Умиджон. “VERIFICATION OF STATIC SIGNATURE USING CONVOLUTIONAL NEURAL NETWORK.” Al-Farg'oniy avlodlari, (4), 70-74, 2023. https://al-fargoniy.uz/index.php/journal/article/view/161
ChicagoАхунджанов, Умиджон. “VERIFICATION OF STATIC SIGNATURE USING CONVOLUTIONAL NEURAL NETWORK.” Al-Farg'oniy avlodlari, (4), 70-74 (2023). https://al-fargoniy.uz/index.php/journal/article/view/161
HarvardАхунджанов, Умиджон (2023) ‘VERIFICATION OF STATIC SIGNATURE USING CONVOLUTIONAL NEURAL NETWORK’, Al-Farg'oniy avlodlari, (4), 70-74. https://al-fargoniy.uz/index.php/journal/article/view/161
BibTeX
@article{article2023,
  title = {VERIFICATION OF STATIC SIGNATURE USING CONVOLUTIONAL NEURAL NETWORK},
  author = {Ахунджанов, Умиджон},
  journal = {Al-Farg'oniy avlodlari},
  year = {2023},
  number = {4},
  pages = {70-74},
  url = {https://al-fargoniy.uz/index.php/journal/article/view/161}
}

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