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@article{163469,
        author = {Samiksha Chavan and Prof Rupal More and Prathamesh Rathi and Rajashree Kute and Vaishnavi Narde},
        title = {Eyes of Authenticity: Document Forgery Detection using Siamese and OCR Techniques},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {11},
        pages = {1281-1291},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=163469},
        abstract = {In an era marked by the widespread adoption of numerous digital tools and techniques, combating digital crimes like the fraudulent replication or forgery of official documents has emerged as a formidable task. This has become feasible due to technological progress, enabling easy alteration of documents. Every aspect, such as official seals, signatures, and text, can be tampered with. Consequently, both public and private sectors are experiencing significant losses in time and resources. In such a situation, it becomes crucial to employ different methodologies to identify and examine irregularities within the inherent characteristics of the document image. By using, different image processing approaches designed to identify instances of document forgery, with the goal of curbing these unlawful practices. The primary objective is forgery detection to optimize the retrieval of information from manipulated photographs and documents, especially in cases involving noisy and post-processed image documents.},
        keywords = {Digital Crimes, Document Forgery, Official Documents, Technological Progress, Image Processing, Forgery Detection, Information Retrieval, Fraudulent replication, Tampering.},
        month = {},
        }