Affine-Invariant Recognition of Gray-Scale Characters Using Global Affine Transformation Correlation
نویسندگان
چکیده
ÐThis paper describes a new, promising technique of gray-scale character recognition that offers both noise tolerance and affine-invariance. The key ideas are twofold. First is the use of normalized cross-correlation as a matching measure to realize noise tolerance. Second is the application of global affine transformation (GAT) to the input image so as to achieve affine-invariant correlation with the target image. In particular, optimal GAT is efficiently determined by the successive iteration method using topographic features of gray-scale images as matching constraints. We demonstrate the high matching ability of the proposed GAT correlation method using gray-scale images of numerals subjected to random Gaussian noise and a wide range of affine transformation. Moreover, extensive recognition experiments show that the achieved recognition rate of 94.3 percent against rotation within 30 degrees, scale change within 30 percent, and translation within 20 percent of the character width along with random Gaussian noise is sufficiently high compared to the 42.8 percent offered by simple correlation. Index TermsÐGray-scale character recognition, normalized cross-correlation, global affine transformation, noise-tolerant and affineinvariant image matching, successive iteration method.
منابع مشابه
Characterizing Global Minimizers of the Difference of Two Positive Valued Affine Increasing and Co-radiant Functions
Many optimization problems can be reduced to a problem with an increasing and co-radiant objective function by a suitable transformation of variables. Functions, which are increasing and co-radiant, have found many applications in microeconomic analysis. In this paper, the abstract convexity of positive valued affine increasing and co-radiant (ICR) functions are discussed. Moreover, the ...
متن کاملShape Matching Using GAT Correlation against Nonlinear Distortion and its Application to Handwritten Numeral Recognition
This paper addresses the problem of to what extent linear transformation can alleviate nonlinear distortion. We investigate a technique of global affine transformation (GAT) correlation to absorb linear distortion between gray-scale images. Features used in GAT correlation are occurrence probabilities of black pixels or gradients. Experiments using the handwritten numeral database IPTP CDROM1B ...
متن کاملRecognition of Affine Distorted Characters by Using Affine-Invariant Local Descriptors
Camera-based character recognition has a possibility to realize a variety of applications and has been paid attention. However, character images are often taken from different angles and characters tend to be distorted. In such a case, recognition accuracy becomes worse. Therefore, we must find some methods to deal with this problem. In this paper, we experimentally evaluate some affine-invaria...
متن کاملBasic Elements Knowledge Acquisition Study in the Chinese Character Intelligent Formation System
In the Chinese character intelligent formation system without Chinese character library, it is possible that the same basic element in different Chinese characters is different in position, size and shape. The geometry transformation from basic elements to the components of Chinese characters can be realized by affine transformation, the transformation knowledge acquisition is the premise of Ch...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- IEEE Trans. Pattern Anal. Mach. Intell.
دوره 23 شماره
صفحات -
تاریخ انتشار 2001