Identifying rotated letter-like symbols

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Stream processing for fast and efficient rotated Haar-like features using rotated integral images

An extended set of Haar-like features for image sensors beyond the standard vertically and horizontally aligned Haar-like features and the 45o twisted Haar-like features are introduced. The extended rotated Haar-like features are based on the standard Haar-like features that have been rotated based on whole integer pixel based rotations. These rotated feature values can also be calculated using...

متن کامل

Fast and Efficient Rotated Haar-like Features using Rotated Integral Images

This paper introduces an extended set of Haarlike features beyond the standard vertically and horizontally aligned Haar-like features [Viola and Jones, 2001a; 2001b] and the 45 twisted Haar-like features [Lienhart and Maydt, 2002; Lienhart et al., 2003a; 2003b]. The extended rotated Haar-like features are based on the standard Haar-like features that have been rotated based on whole integer pix...

متن کامل

Identifying Layout Classes for Mathematical Symbols Using Layout Context

We describe a symbol classification technique for identifying the expected locations of neighboring symbols in mathematical expressions. We use the seven symbol layout classes of the DRACULAEmath notation parser (Zanibbi, Blostein, and Cordy, 2002) to represent expected locations for neighboring symbols: Ascender, Descender, Centered, Open Bracket, Non-Script, Variable Range (e.g. integrals) an...

متن کامل

Rotated Explicit Curves

This paper demonstrates that piecewise, rotated explicit curves are flexible enough for 2–D modeling applications such as font design. Their use simplifies many operations such as scan conversion, point classification, and curve intersection.

متن کامل

Rotated Kanji Character Recognition

We proposed a rotated character recognition method using eigen-subspace characterized multiple projection and simple projection. Then the multiple projections showed a higher accuracy at low dimensions than a simple projection for alphanumeric 62 categories. This time, we applied it for the first class of Japanese Industrial Standard (JIS) Kanji set which includes 2,965 categories. As the resul...

متن کامل

ذخیره 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: Memory & Cognition

سال: 1982

ISSN: 0090-502X,1532-5946

DOI: 10.3758/bf03197622