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Journal : Scientific Journal of Informatics

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Siamese Neural Networks with Chi-square Distance for Trademark Image Similarity Detection Suyahman; Sunardi; Murinto; Arfiani Nur Khusna
Scientific Journal of Informatics Vol. 11 No. 2: May 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i2.4654

Abstract

Purpose: The objective of this study is to address the limitations of existing trademark image similarity analysis methods by integrating a Chi-square distance metric within a Siamese neural network framework. Traditional approaches using Euclidean distance often fail to accurately capture the complex visual features of trademarks, leading to suboptimal performance in distinguishing similar trademarks. This research aims to improve the precision and robustness of trademark comparison by leveraging the Chi-square distance, which is more sensitive to image variations. Methods: The approach involves modifying a Siamese neural network traditionally employing Euclidean distance with the use the Chi-square distance metric instead. This alteration allows the network to better capture and analyze critical visual features such as color and texture. The modified network is trained and tested on a comprehensive dataset of trademark images, enabling the network to learn and distinguish between similar and dissimilar trademarks based on subtle visual cues. Result: The findings from this study show a significant increase in accuracy, with the modified network achieving an accuracy rate of 98%. This marks a notable improvement over baseline models that utilize Euclidean distance, demonstrating the effectiveness of the Chi-square distance metric in enhancing the model's ability to discriminate between trademarks. Novelty: The novelty of this research lies in its application of the Chi-square distance in a deep learning framework specifically for trademark image similarity detection, presenting a novel approach that yields higher precision in image-based comparisons.
Comparative Analysis of CNN Architectures in Siamese Networks with Test-Time Augmentation for Trademark Image Similarity Detection Suyahman; Sunardi; Murinto
Scientific Journal of Informatics Vol. 11 No. 4: November 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i4.13811

Abstract

Purpose: This study aims to enhance the detection of trademark image similarity by conducting a comparative analysis of various Convolutional Neural Network (CNN) architectures within Siamese networks, integrated with test-time augmentation techniques. Existing methods often face challenges in accurately capturing subtle visual similarities between trademarks due to limitations in feature extraction and generalization capabilities. The research seeks to identify the most effective CNN architecture for this task and to assess the impact of test-time augmentation on model performance. Methods: The study implements Siamese networks utilizing three distinct CNN architectures: VGG16, VGG19, and ResNet50. Each network is trained on a dataset of trademark images to learn deep feature representations that can discriminate between similar and dissimilar trademarks. During the evaluation phase, test-time augmentation (TTA) is applied to enhance model robustness by averaging predictions over multiple augmented versions of the input images. TTA includes transformations such as random rotations (up to 40%), width and height shifts (up to 20%), random shear transformations, zooming (up to 20%), horizontal and vertical flips, and random brightness adjustments. Result: Experimental findings reveal that the Siamese network based on VGG19 achieves the highest accuracy at 98.82%, outperforming the VGG16-based network with an accuracy of 97.07% and the ResNet50-based network with 50.00% accuracy. The application of TTA has improved performance across all models, with the VGG19 model receiving the highest improvement. The extremely low accuracy of ResNet50 can be attributed to its misinterpretation of original trademark images as close-forged ones, probably due to overfitting or lack of an efficient ability in generalizing very fine visual features. Novelty: The study conducted a comparative analysis of CNN architectures, namely VGG16, VGG19, and ResNet50 in Siamese networks for trademark image similarity detection.
Co-Authors 'Aina Urfiyya, Qarriy A Zulfia Da’iyatu Rohmah A, Tia A. Muhammad Idkhan A. Muhammad Irfan A. Rachman Saprin, Jamal Abdel-Nasser Sharkawy Abdi Mohamed, Ahmed Abdul Azis Abdul Rasyid Abi Suwito Abu Zaenal Zakariya Ade Citra Zahara Adipta, Marzaenal Aditya R, Rijal Adviana, Febry Afrizal Agus Nurtiyanto, Woro AHMAD JUNAEDI Alamsyah, Haryani Alda Alfaningsih ALDO, JEFRI Alfrianto, Rifki Alimansur, Moh. Alin Liana Alkahfi, Aditya Aminuddin, Jamrud Anang Kadarsah, Anang Andhika Silva Yunianto Andhini Ayu Widyasti Andini Luluk Nofitarini Andrew Joewono Andriani, Miftakul Andriyansah . Angga Muhammad Zacky Annizar, Anas Ma'ruf Anton Yudhana Aprianto . Aprilliansyah, Deco Arafat, Muhammad Yasser Ardiansyah Ardiansyah, Rizal Arditya, Rifki Ananda Arditya Arfiani Nur Khusna Aripin Triyanto Aris Haryadi Aris Setiawan Aris Suryadi Arrosyid, Barru Arum Manggar Sari Askar Askar, Askar Assidiq, Imam Atyah Febriyanti Aulia Hafizah, Dila Avry Pribadi Azhar Salim Badaruddin Anwar Bagies Maulana Bagus Ady Susanto Bayu Andriyantoro, Pramudya Bayu Urip Pandiangan Budi Parmono Budi Setyastuti Budiastra , A.A. Ketut Butar-Butar, Awido Choirun Niswah Daud Ghaffar Mudzakkir David Dwi Oktavianus Dedek Darvina Deriel Apriliagung Dewi Putri Mandiri Dhirisma, Fitria Dian Wardiana Sjuchro Didik Sugeng Pambudi Dina Oktavia Dinandro Neno, Rafael Dita Putri Mayangsari Ditya Nurma Paulina Dwi Novianto Dyah Sunggingwati Edy Sumarno Edy Sumarno, Edy Efrida Eko Suhartono Erfan Yudianto Erma Wahyu Mashfufa Evi Novianti Ezza Pratama, Estu F, Arya Fahlefi, Muhammad Daffa Rian Fahmi, Miftahuddin Faqih Alvrido Faridah Alfiyah Farizi, Imam Fath, Habibullah Khaidir Fath Fia, Misha Khusnul Fikar Angga Pratama Fiya Ainur Rohmatika Frita Tasik Bulawan Fuaddilah Ali Sofyan Furizal Garminingsih Giovani Toldo Giri Widakdo Grandhika Pratama Widiyarta Nugraha Habibah, Meiliani Zahira Habibi, Muchtar Hadawiyah Endah Utami Hadi Prayitno Hadi Prayitno, Hadi Hafid Rahmandan Halimatuzzahrah Harahap, Rifa`i Hariadi, Setyo Haris Tri Wibowo Harlina, Sitti Hasan, Moch Sya'roni Hasanah, Tria Uswatun Hasanuddin Hendra Febriyanto Hendra Uloli Henryanto, Yunan Heri Sutrismin Herlambang harjo semedy Hermagustiana, Istanti Herman Yuliansyah, Herman Hernanda, Trias Hersatoto Listiyono Hery Kurniawan I Gde Budi Indrawan I Made Sumertajaya Idham Halid Lahay Ikhsan Muzaky, Muhamad imam baihaki Imam Riadi Imfrianti Augtiah Indah Sulastuti, Katarina Indra Irawan Irawadi Buyung Iskandar Zulkarnain Iti Septi Jamal A. Rachman Saprin Jeffri Alfa Razaq Joewono Prasetijo Joko Daryatmo Joko Sutopo Juhana Juhansar Keukeu Kaniawati Rosada Kintung Prayitno, Kintung Kistanti, Aisyah Kurniasih, Vita Kusdaniyama, Nunung Labiba Khuzaima, Luthfita Lani Gumilang Larosa, Esta Lasalewo , Trifandi Latifah Listyalina Lestari, Yulian Sri LILIS SETYOWATI Luky Hidayat M. Rezky Septiyadi Malik, Muhammad Mamik Widyastuti Maria Ulfah Martenci Ledoh, Nurani Marzicha Amalia Sumardiko Mas Bayu, Candra Mekro Permana Pinem, Mekro Permana Michael Daru Enggar Wiratmoko Mirasa, Yudied Agung Moch. Satria Handoko Mochammad Syaiful Hadi Mohamed, Ahmed Abdi Mohammad Muhibbin MT. Safirin Mubarok, Ahmad Muchamad Akbar Agustian Muchib, Abdul Muh. Edi Gunawan Muhamad Sulaiman Muhammad Ajay Muhammad Aman Ma’mun Muhammad Rezki Agus Kurniawan Muhammad Rizaldi Trias Jaya Putra Nurdin Muhammad Sultan, Muhammad Muhibbin Mukhlisin Mukhtar Effendi Munawir Murinto Murti, Ardian Baroto Mustaqim Pabbajah MUTHIA Mutia Rissa, Mexsi Nabilah, Jihan nabilatul hafidhoh Ngatirah Nico Aliffian Vollytanio Putra Nifa, Kholishotun Noer Komari Nofi Sri Utami Noor, Arifin Norma Eralia Novi Faulia Sari Nur Adelia NUR AINI Nur Arifah Drajati Nur Arifah Drajati Nur Daffa Zain, Ananda Nur Fuadah Nur Hidayah Nurcholif Diah Sri Lestari Nurfauziah, Isni Nurhayati, Emy Nurjanah Nurmarifah, Atun Nurria Tafana Nuryanto Ollyvia Freeska Dwi Marta Pamungkas, Harisudin Perani Rosyani Permana, Rendi Dita Permatasari, Sinta Dewi Prahatama Putra, Aminuddin PRAMUDIBYO, SUGENG PRAMUDIBYO Pratiwi, Ardita Epi Putri, Salsabilla Azahra Qorinah Estiningtyas Sakilah Adnani R, Aelia Rahman, Muhamad Rahmatul Hidayati, Rahmatul Ramadhan, Fikri Ranggala, Qadar Rarmizi, Rasyid Ratih Indah Sari Ratna Rianti, Dian Rianda Cakasana Rico Fitra Pratama Rifatun Nuriyah Rima Dwi Oktaviani Riskiana Rizka Saraswati Malinda Rizqulloh Brilliant 'Ainur Rofiq Robi Wijaya Roid S, Mohammad Roid S, Mukmin Roselline Didik Akbar Rusmawaty, Desy S, Deby S, Zham-Zham Safiq Rosad Saiful Munir Saini, Irsan Salsabilla Azahra Putri Santi Triwijaya Saragih, Nova Yulinar Septian MN, Angga Setiawan, Yayan Eryk Setiawan Setya Permana, Basuki Rakhim Setya Widyawati Setyo, Demmy Sheena Ramadhia Asmara Dhani Silmina, Esi Putri Siti Wahyuningsih Sitti Rabiatul Wahdaniyah Slamet Puji Riyanto Solechan Solipyani Solly Aryza Sri Haryuni Sri Mulyani Sri Sumaryati Sudarmin Sudiyanto Sukmo, Previ Kuncoro Suparti suratman Surbakti, Amando Suyahman Suyahman Suyanto Syahfitri Hermansyah, Adelia Teguh Arifianto Teodora Ping, Maria Thaifur Rasyid Titik Sugiarti Toto Raharjo Tranggono Tri Dyah Prastiti Tri Kurniati Triwidayati, Nanik Triyanto, Aripin Ula, Shofiatul Uni Apriani Utami, Isnaini Apri Valentika, Nina Vici Tiara Anjarsari Vina Phangestu Vita Kurniasih Wardi Wardi Wawan Gunawan Widyowanti, Reni Astuti Wihantoro Williand Wars Exstofian Femi winarti, eko Wingki Sapta Dewa Wita Wardani Yama Nasaruddin, Indo Yolanda Wiratama Putri Yulian Sri Lestari Yunus Anis, Yunus Anis Yustita, Widya Arum Indra Z. 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