AL‐MAHADEEN Bassam ‐ Tafila Technical University, Jordan

AL‐TARAWNEH Mokhled ‐ Mutah University, Jordan

Abstract

This paper presents a direct crypto key generation method form signature biometric based on Gabor feature selection. The proposed method outputs secure entropy keys, which could be used as high watermarking source for signature biometric itself as well as digital electronic signature that hide e-documents in electronic open system. Simulated results have demonstrated that generated Crypto Key addresses a replacement of a biometric signature representation into digital symmetric key; where the generated features vector key is used to sign e’s sources, i.e. e-banking, e-insurance, e-health care, e-government documents. None of literature or previous work in the field tackled enhancement feature extractions such as filtration technique this is why this research introduced Gabor vector feature selection as based of key generation.

Journal of Computer Science and Control Systems, ISSN 1844‐6043, Vol. 4, No. 1, May 2011.