Offline signatures matching using haar wavelet subbands
نویسندگان
چکیده
منابع مشابه
Texture Classification Using Discriminant Wavelet Packet Subbands
This paper addresses the issue of selecting features from a given wavelet packet subband decomposition that are most useful for texture classification in an image. A functional measure based on Kullback-Leibler distance is proposed as a way to select most discriminant subbands. Experimental results show a superior performance in terms of classification error rates.
متن کاملAutomatic Number Plate Recognition Using Haar Wavelet
The tenacity of this paper is logical investigation of prevailing ANPR system research by cataloguing existing methods analyzing and equate old and new techniques. Automatic number plate recognition is a technique to read character from image and isolate number using various processes and practices. Automatic number plate credit is a image processing techniques. In this paper we used efficient ...
متن کاملSelection of Wavelet Subbands Using Genetic Algorithm for Face Recognition
In this paper, a novel representation called the subband face is proposed for face recognition. The subband face is generated from selected subbands obtained using wavelet decomposition of the original face image. It is surmised that certain subbands contain information that is more significant for discriminating faces than other subbands. The problem of subband selection is cast as a combinato...
متن کاملImage quality measurement using the Haar wavelet
The traditional mean-squared-error (MSE) or peak-signal-to-noise-ratio (PSNR) error measures are mainly focused on the pixel-by-pixel diierence between the original and compressed images. Such metrics are improper for subjective quality or delity assessment, since human perception is very sensitive to correlations between adjacent pixels. In this work, we explore the Haar wavelet to model the s...
متن کاملEnhanced Fractal Image Compression using Haar Wavelet
Fractal image compression offers a high compression ratio with extremely short decompression time. However, it suffered from long compression time. In this paper, a new block classification method based on the Haar wavelet transform is introduced. When used in conjunction with our domain block pool reduction scheme, the enhanced method can improve the speed of compression over 50 times with min...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: TELKOMNIKA (Telecommunication Computing Electronics and Control)
سال: 2020
ISSN: 2302-9293,1693-6930
DOI: 10.12928/telkomnika.v18i6.17069