typed_digital_signatures

Typed Digital Signatures Dataset This comprehensive dataset contains synthetic digital signatures rendered across 30 different Google Fonts, specifically selected for their handwriting and signature-style characteristics. Each font contributes unique stylistic elements, making this dataset ideal for robust signature analysis and font recognition tasks. Dataset Overview **Total Fonts**: 30 different Google Fonts **Images per Font**: 3,000 signatures **Total Dataset Size**: ~90,000 signature images in .png format Included Fonts All fonts are freely available through Google Fonts and are categorized here by style: Elegant Script Fonts Alex Brush Arizonia Bilbo Swash Caps Great Vibes Kaushan Script Mr De Haviland Rouge Script Tangerine Natural Handwriting Fonts Bad Script Calligraffitti Cedarville Cursive Dancing Script Indie Flower Kalam La Belle Aurore Marck Script Nanum Pen Script Over the Rainbow Shadows Into Light Whisper Signature-Style Fonts Birthstone Cookie Lobster MonteCarlo Meddon Pacifico Sacramento Satisfy Yellowtail Marker Style Permanent Marker Dataset Organization The dataset is organized into 30 folders, one for each font. Each folder contains 3,000 signature images. Each folder follows the naming convention of the font name (e.g., "Alex_Brush", "Dancing_Script"), and contains sequentially numbered PNG files: Each image is numbered from 000 to 2999, with the format: `{index:03d}.png` Purpose Detect the existence of typed digital signatures within documents for legal or compliance checks. A typed digital signature is one which has used a keyboard to produce a signature, instead of being hand drawn, utilizing font styling to give the appearance of a genuine signature. This dataset is designed for developing and testing models that can detect and verify typed digital signatures by their popular font styles. The extensive variety of fonts enables robust model training across different signature styles commonly used in digital document signing platforms. Fea