International Science Community Association Research Journal of Recent Sciences 15 3 2026 07 2 Deep Attention Models for Identification of Laser Printed Document Origins 81 85 EN Sahu Suresh 1 Government Engineering College, Ajmer, Rajasthan, India Kumar Vinod 1 NTPC Energy Technology Research Alliance (NETRA), Plot No. E-3, Ecotech-II, Udyog Vihar, Greater Noida -201306, Uttar Pradesh, India Aggarwal Akanksha 2 NTPC Energy Technology Research Alliance (NETRA), Plot No. E-3, Ecotech-II, Udyog Vihar, Greater Noida -201306, Uttar Pradesh, India Kulshershtha Amit 3 NTPC Energy Technology Research Alliance (NETRA), Plot No. E-3, Ecotech-II, Udyog Vihar, Greater Noida -201306, Uttar Pradesh, India Kumar Manish 4 NTPC Energy Technology Research Alliance (NETRA), Plot No. E-3, Ecotech-II, Udyog Vihar, Greater Noida -201306, Uttar Pradesh, India Kumar Shanta 5 NTPC Energy Technology Research Alliance (NETRA), Plot No. E-3, Ecotech-II, Udyog Vihar, Greater Noida -201306, Uttar Pradesh, India Tripathi Raj Kumar 6 NTPC Energy Technology Research Alliance (NETRA), Plot No. E-3, Ecotech-II, Udyog Vihar, Greater Noida -201306, Uttar Pradesh, India Saini Yashwant Kumar 7 NTPC Energy Technology Research Alliance (NETRA), Plot No. E-3, Ecotech-II, Udyog Vihar, Greater Noida -201306, Uttar Pradesh, India Gupta Shyam Manohar 8 NTPC Energy Technology Research Alliance (NETRA), Plot No. E-3, Ecotech-II, Udyog Vihar, Greater Noida -201306, Uttar Pradesh, India Ram Anshu Beulah 1 Department of Biotechnology, Nrupathunga University, Nrupathunga Road, Bangalore, Karnataka 560001, India Kour Gurshish 2 Clinical Microbiology Division, Indian Institute of Integrative Medicine (CSIR), Canal Road, Jammu 180 001, India P. Priya 1 Department of PG studies in Biotechnology, Nrupathunga University, Bengaluru, Karnataka, India P.R. Druthi 2 Department of PG studies in Biotechnology, Nrupathunga University, Bengaluru, Karnataka, India M. Jeevitha 3 Department of PG studies in Biotechnology, Nrupathunga University, Bengaluru, Karnataka, India Kabhade Sarina P. 4 Department of PG studies in Biotechnology, Nrupathunga University, Bengaluru, Karnataka, India Stella Bhupanapadu Sunkesula Mary 5 Insearch Laboratory, Bengaluru, Karnataka, India M. Jeevitha 1 Department of Biotechnology, Nrupathunga University, Bengaluru, Karnataka, India P.R. Druthi 2 Department of Biotechnology, Nrupathunga University, Bengaluru, Karnataka, India P. Priya 3 Department of Biotechnology, Nrupathunga University, Bengaluru, Karnataka, India Kabhade Sarina P 4 Department of Biotechnology, Nrupathunga University, Bengaluru, Karnataka, India Stella Bhupanapadu Sunkesula Mary 5 Insearch Laboratory, Bengaluru, Karnataka, India P. Rajeshwari 1 Government Science College, Chitradurga, Karnataka, India Raveesha K.A. 2 Life Sciences, JSS Academy of Higher Education and Research (JSSAHER) Mysuru, Karnataka, India B. Kavitha 1 Department of Microbiology, Nrupathunga University, Bengaluru, Karnataka, India Shetty Chandana R 2 Department of Microbiology, Nrupathunga University, Bengaluru, Karnataka, India R. Pavithra 3 Department of Microbiology, Nrupathunga University, Bengaluru, Karnataka, India V. Vanaja 4 Department of Microbiology, Nrupathunga University, Bengaluru, Karnataka, India Varshini Vidhya 5 Department of Microbiology, Nrupathunga University, Bengaluru, Karnataka, India N. Anuroopa 1 Department of Microbiology, Nrupathunga University, Bengaluru, Karnataka, India R. Prajwal 2 Department of Microbiology, Nrupathunga University, Bengaluru, Karnataka, India M. Kishore Rao 3 Department of Microbiology, Nrupathunga University, Bengaluru, Karnataka, India C. Deepika 4 Department of Microbiology, Nrupathunga University, Bengaluru, Karnataka, India M. Jayashree 5 Department of Microbiology, Nrupathunga University, Bengaluru, Karnataka, India P. Rashmi 6 Department of Microbiology, Nrupathunga University, Bengaluru, Karnataka, India N. Hithyshi 1 Department of Post-Graduate Studies in Zoology, Nrupathunga University, Bengaluru, India B.C. Shashikanth 2 Department of Post-Graduate Studies in Zoology, Nrupathunga University, Bengaluru, India D.A. Uday Kumar 3 Department of Post-Graduate Studies in Zoology, Nrupathunga University, Bengaluru, India H.M. Mohan Kumar 4 Department of Post-Graduate Studies in Zoology, Nrupathunga University, Bengaluru, India S. Priya 1 Department of Computer Science, Government First Grade College, Domlur Shanthi Nagar, Bengaluru, India Urs Bharathi Shettahalli Nagaraje 1 Department of Mathematics, Government Science College, Chitradurga, Karnataka, India Gonasagi Pushpalata 1 Department of Computer Science, Govt. First Grade College Mahagaon Cross, Kalaburagi, Karnataka, India > Research Paper 2026 4 10 2026 07 2 In the field of digital forensic science, artificial intelligence (AI) technologies are being used more and more to settle document-related disputes that have historically required the knowledge of human experts. Finding the precise printer that generated a given document is one of the main goals of intelligent systems based on printer identification. Nevertheless, a lot of current methods rely on text-dependent approaches, which might not work in some forensic situations. These drawbacks have spurred research into text-independent methods using word images from various laser printer models. In this work, laser printer models are classified using grayscale word images. The constructed dataset consists of 100,000-word images collected from five distinct laser printer models. A deep learning–based Convolutional Neural Network (CNN) is employed to identify the source laser printer model. The performance of the proposed CNN architecture is evaluated and compared with recent studies reported in the literature, particularly those based on textural feature analysis. Experimental results demonstrate that the proposed CNN model achieves a high classification accuracy of 98.8%, outperforming several existing methods. Copyright@ International Science Community Association