Offline geometric parameters for automatic signature verification using fixed-point arithmetic

By Miguel Angel Ferrer-Ballester, Jesús B. Alonso, Carlos Manuel Travieso-González. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005

339 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/7f9c8fb271153bcf7ae189207b71977fc3bba22b

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In Computer Vision and Pattern Recognition

1. Almas Abbasi
2. Giuseppe Pirlo
3. Woo Chaw Seng
4. Donato Impedovo
5. J. Unar

Citations in the corpus

• A review of biometric technology along with trends and prospects (2014, methodology): “Table 1: Summary of hand region modalities: Modality Feature Set Recognition Techniques Datasets Fingerprint Ridge flow, ridge pattern, singular points, ridge skeleton, ridge flow, ridge ending, ridge contours, ridge kernel, orientation field, island, spur, crossover, learned feature, sweat pores, d”
• Automatic Signature Verification: The State of the Art (2008, methodology): “online signatures; the GPDS [91] database of offline signatures;”