Abstract/Description
For personal identification the use of fingerprint identification systems is mostly common. First step for an Automated Fingerprint Identification System (AFIS) is the segmentation of fingerprint from the acquired image. Extraction of region of interest (ROI) from the desired fingerprint impression is the main purpose of segmentation. In this paper, we present a new technique for fingerprint segmentation using morphological operations and modified gradient based technique. The distinct feature of our technique is that it gives high accuracy for fingerprint segmentation even for low quality fingerprint images. The proposed algorithm is applied on standard fingerprint databases, FVC2002 and FVC2004. Experimental results demonstrate the improved performance of the proposed scheme.
Location
Room C4
Session Theme
Image Processing – I
Session Type
Other
Session Chair
Dr. Sharifullah Khan
Start Date
24-7-2011 1:30 PM
End Date
24-7-2011 1:45 PM
Recommended Citation
Akram, M. U., Ayaz, A., & Imtiaz, J. (2011). Image Processing – I: Morphological and gradient based fingerprint image segmentation. International Conference on Information and Communication Technologies. Retrieved from https://ir.iba.edu.pk/icict/2011/2011/47
Image Processing – I: Morphological and gradient based fingerprint image segmentation
Room C4
For personal identification the use of fingerprint identification systems is mostly common. First step for an Automated Fingerprint Identification System (AFIS) is the segmentation of fingerprint from the acquired image. Extraction of region of interest (ROI) from the desired fingerprint impression is the main purpose of segmentation. In this paper, we present a new technique for fingerprint segmentation using morphological operations and modified gradient based technique. The distinct feature of our technique is that it gives high accuracy for fingerprint segmentation even for low quality fingerprint images. The proposed algorithm is applied on standard fingerprint databases, FVC2002 and FVC2004. Experimental results demonstrate the improved performance of the proposed scheme.
