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Image Processing – I: Morphological And Gradient Based Fingerprint Image Segmentation, M. Usman Akram, Anaum Ayaz, Junaid Imtiaz Jul 2011

Image Processing – I: Morphological And Gradient Based Fingerprint Image Segmentation, M. Usman Akram, Anaum Ayaz, Junaid Imtiaz

International Conference on Information and Communication Technologies

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 …


Image Processing – I: Automated System For Fingerprint Image Enhancement Using Improved Segmentation And Gabor Wavelets, Amna Saeed, Anam Tariq, Usman Jawaid Jul 2011

Image Processing – I: Automated System For Fingerprint Image Enhancement Using Improved Segmentation And Gabor Wavelets, Amna Saeed, Anam Tariq, Usman Jawaid

International Conference on Information and Communication Technologies

This research revolves around the fingerprint image enhancement. It is used for automated fingerprint identification systems (AFIS) for extracting the best quality fingerprint images. Accurate feature extraction and identification is the basic theme of this enhancement. This paper is on the fingerprint image enhancement using wavelets. Wavelets are famous for their special localization property and orientation flow estimation. The proposed technique is basically comprises of three main steps: segmentation followed by image sharpening and then Gabor wavelet filtering. Segmentation distinguishes between image background and foreground which in turn reduces processing time. Our sharpening stage of enhancement algorithm sharpens the edges …