Signature Detection Collection

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🔮Psychic

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“A super lightweight image processing algorithm for detection and extraction of overlapped handwritten signatures on scanned documents using OpenCV and scikit-image.”

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📦Normal

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“An end-to-end signature verification system to extract, clean and verify signatures in documents. Signatures are detected using YOLOv5. Noise is cleaned using a CycleGAN approach and verified. Keras / Tensorflow / PyTorch”

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🔮Psychic

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“Python implementation of the Packed Executable iDentifier (PEiD)”

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🔮Psychic

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“Simple good performance byte pattern/PE signature scanner, allowing upwards of 5000MB/s per core (30000+MB/s with AVX) on modern hardware.”

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📦Normal

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“A package for signature detection”

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🔮Psychic

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“A conceptual model to detect and verify signatures on bank cheques. This is our Final Year project at Thapar Institute of Engineering and Technology.”