Several variations on algorithms for dynamic time warping have been proposed for speech processing applications. In this paper two general algorithms that have been proposed for word spotting and connected word recognition are studied. These algorithms are called the fixed range method and the local minimum method. The characteristics and properties of these algorithms are discussed. It is show...

In this work we investigate and extend the current state-of-the-art system for text spotting in natural images [Jaderberg et al. 2014a]. First, we extend text recognition to be case-sensitive and include special characters and punctuation marks. Next, we improve text recognition at various word-length scales using separate deep convolutional neural networks for different length intervals. Final...

Is breakthrough bleeding putting you on the spot? One common side effect for many women who use the NuvaRing [2] is spotting, or light blood loss in between their periods. This is a perfectly normal occurrence, and it does not mean that the NuvaRing is not working as a contraceptive. The amount of bleeding is usually minimal and may occur from time to time for no apparent reason. However, shoul...

In this paper, a classification-free Word-Spotting system, appropriate for the retrieval of printed historical document images is proposed. The system skips many of the procedures of a common approach. It does not include segmentation, feature extraction or classification. Instead it treats the queries as compact shapes and uses image processing techniques in order to localize a query in the do...

We present a simple, yet highly accurate, spam filtering program, called SpamCop, which is able to identify about 92% of the spams while misclassifying only about 1.16% of the nonspam e-mails. SpamCop treats an e-mail message as a multiset of words and employs a na’fve Bayes algorithm to determine whether or not a message is likely to be a spam. Compared with keyword-spotting rules, the probabi...

In dieser Zusammenfassung stellen wir einen Demonstrator zur Schlüssel-worterkennung (Keyword-Spotting) vor, der ohne vorheriges Training der zu detektie

A spotting algorithm is proposed to recognize the meanings of 1) human gestures from motion images, 2) spontaneous speech. The spotting algorithm removes the need for temporal segmentation of gesture/utterance duration and introduces frame-wise recognition suitable for realizing a real-time system. We carried out some experiments into gesture/utterance recognition and the results have confirmed...

POTTING patterns serve as one approach in the study of gene action. S A superficial character, such as pigmentation, presumably is closer to primary gene action than are the more fundamental aspects of embryonic development. The spotting problem, concerned with the localization of color, is to be distinguished from the pigment problem concerned with the quality and intensity of color. The prese...

Nearly all previous work on small-footprint keyword spotting with neural networks quantify model footprint in terms of the number of parameters and multiply operations for an inference pass. These values are, however, proxy measures since empirical performance in actual deployments is determined by many factors. In this paper, we study the power consumption of a family of convolutional neural n...

An OCR free word spotting method is developed and evaluated under a strong experimental protocol. Different feature sets are evaluated under the same experimental conditions. In addition, a tuning process in the document segmentation step is proposed which provides a significant reduction in terms of processing time. For this purpose, a complete OCRfree method for word spotting in printed docum...