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download Searching for Wanda by Elise Sutton (eBook) online at Lulu. Visit the Lulu eBook (PDF), Pages. This item Available in PDF Format. Searching for Wanda [Elise Sutton] on ronaldweinland.info *FREE* shipping on qualifying offers. In her third book, notable FemDom author Elise Sutton strays away. Read Online Searching for Wanda pdf. Page 3. Download and Read Free Online Searching for Wanda Elise Sutton. From reader reviews: Kenneth Vargas.
Elise's best work to date! Although I find her books to be highly erotic, what distinguishes them from others is the way she masterfully uses the stimulating life experiences of genuine people to flesh out the didactic component of her books. Ms Sutton has a gift in creating a perfect blend to equally teach and entertain her readers. Notwithstanding, Ms Sutton is never shy about injecting her own observations and opinions, even when her estimations differ from past and present Psychologists, Psychiatrists and Sociologists. This book also takes notice of real life experiences of female sadists and the wives and significant others of masochists. Many have heard of Leopold von Sacher-Masoch but few have heard his life story. His life story is most remarkable and I found it rather clever the way Ms Sutton categorized the chapters in the first half of her book based on the FemDom relationships Sacher-Masoch had with the women in his life, beginning with his adolescent connection with his Aunt Xenobia and continuing through to his final years and his relationship with his second wife, Hulda Meister.
Sutton culls from the fields of anthropology, sociology, psychology, philosophy, literature, and film, and cites such great thinkers as Freud, Jung, Krafft-Ebing, Rousseau, Reik, and Sartre. But this is no dry-as-dust academic tome. It manages to be scholarly and also hot, like your favorite sexy librarian. A compulsive read. As an aside: although most civilians might be vaguely familiar with Venus in Furs, it is curious that the very interesting life story of the author has not received attention-- until now.
Kudos to Elise Sutton for unearthing this gem and making it relevant. I will be a star at cocktail parties with my new anecdotes.
The notion of "femdom" was brought to my attention by my friends who suggested various books on the subject, some less serious than others. This book is more serious in many ways and references Venus in Furs.
The Wanda character represents the ultimate dominant woman. And a lot of the book focuses on the submissive male and his search, meaning it also references the author of Venus in Furs.
I enjoyed this book. The writing is smooth and easy to take. Like I said, a good Sunday read. My kinky friends would enjoy it -- in fact I'll pass it on to them. I began to skim through it, not intending to read it for a few days because of my schedule. Where did the time go? The book is wonderful.
Thank you, Elise, for bringing clarity to our lifestyle. You are an ambassador for FemDom couples the world over. In addition, I just want to say how honored I am that a few of my observations were included in this book.
Dear Ms Sutton, I just downloaded and read your latest book. I found it informative, interesting and very readable. It spoke to me in many ways and gave me a new and refreshing look at a subject that has preoccupied me most of my life.
Furthermore, specific designed processing operations might be stored and reloaded for repeated usage. Particularly, the operators for background removal e. The operators for foreground removal e. Few examples of handwriting and their preprocessing results are given in table 2.
Table2: Results for document background removal and handwriting preprocessing. In order to consider an investigation report as scientifically proved, the official expert report has to fulfill certain requirements.
Therefore, experts from the field of forensic handwriting examination put a lot of effort in the harmonization and objectification of verbal categories on final conclusions of a handwriting's authorship. These activities can be further promoted if not only the final given evidence, but also the terminology for describing the investigation object and the supporting arguments during the validation on an hypotheses become standardized.
Moreover, the explicit specification of the application domain, is essential for the development and the use of intelligent systems. Not only to pro- vide the system developer with the vocabulary for representing the domain knowledge; but, more importantly, to establish the envisaged inter-operation of humans handwriting experts and machines in daily forensic casework.
For example, the current FISH system considers not only numerical handwriting features, but also very conventional nominal characteristics such as writing style or connectivity [7,12].
In this way, the intro- duction of sophisticated methods for computational intelligence is further promoted. It has to be noted that the current realization of WANDA Annotation  is based on the knowledge of forensic handwriting experts working in Germany, combined with the expertise of researches from the field of handwriting analysis in Germany, the Netherlands and the USA. For the establishment of a widely accepted domain specification, the consi- deration of forensic handwriting expertise from different laboratories and countries is required.
The presented version may motivate further discussions in this field. The following list provides selected elements with their attributes and values. Verbatim: 5. Paper-Absorbency: low, normal, high Pad-Hardness: soft, normal, hard Pad-Surface: even, structured 5.
Script-Type: arabic, chinese hanzi, greek, latin, russian cyrillic, … Script-Language: german, english, french, dutch, … Style-Major: cursive, mixed, handprint, blockprint Style-Connection: arced, garland, angular, straight, … Style-Stroke-Quality: smooth, disturbed, highly disturbed 5. Person-Firstname: Person-Lastname: Person-Gender: male, female Language german, english, french, dutch, … Education-Country: Education-Level: low, medium, high Properties- left-handed, unknown, right-handed Handedness 5.
Those protocols are being supplied for the questioned handwriting sample as well as for the reference handwritings. Performing these procedures manually is extremely time consuming.
Thus, interactive and semi-automated computer procedures might partly support the complete documentation of frequently needed aspects of handwriting. For the semi-automatic generation of an expert report one can think of an easy-to-use graphical user interface where the expert only selects the specific categories and values that describe the handwriting product.
On users demand the annotated data might be transferred into the case management system. Also, a text document could be generated, e. The proposed format will ensure that data can be rapidly imported into another computer system that does not need to be provided by the same manufacturer. So, WANDA promotes interoperability, and, with the anchors for further extensions, long-term usability.
In this plug-in the user can select the measurement to perform, choose a letter to measure and is guided through the measurement process by means of step-by-step instructions. A special part of the WAM is the allograph matching interface, in which pattern recognition techniques are used to help the user find allograph prototypes of the questioned handwriting. The WAM offers the user a choice of ten measurements, which will be discussed next. In the following sections the allograph measure is explained in more detail, the preliminary validation of the plug-in is reported, and, finally, the WAM interface is shown.
The basic measurements consist of the various character heights ascenders, descenders, corpus height , and height of oval characters , the slant of characters, and the character width. If present in the handwriting, the WAM allows the users to measure upper and lower loops of characters. As the only non- character based feature, the WAM also provides the measurement of the average distance between the baselines in a piece of handwriting. The last measurement, the new allograph measurement, is discussed in detail in the next section.
These ten measurements are similar to the measure- ments performed in FISH except for the allograph measurement. There exist however a large overlap with the types of measurement from Script. The ascenders and descenders are measured from the top to the bottom of the corresponding feature not necessarily the top and bottom of the letter , the character height measures the vertical baseline to corpus line strokes in letters e.
All measurements are from the first ink pixel to the last ink pixel for example, see Figure 3a for a descender. The line height, the distance between consecutive baselines, is measured by the user by taking the bottom of a letter on the baseline of every consecutive line that is included in the measurement with a minimum of two. The average value of the distances between each consecutive pair of these points is displayed to the user as the measurement. It is the distance from the right edge of both cup-ends i.
The slant see Figure 3b is performed by drawing a line on an ascender preferably, though descenders are allowed.
The angle between the drawn line and the x-axis is considered the slant of the letter. Finally, the loops are measured by calculating three values based on the trace of inside edge of the loop. By searching the inner bound of the loop, the WAM will determine the longest and shortest length across and return as measured values the longest length, the ratio between the longest and shortest length the form of the loop and the slant of the longest length line.
These three values are used to characterize the loop. It finds, with help of the user, a prototype for a typical allograph that was used in the handwriting, which is subsequently used as a feature in the identification process. With this measurement, the user is asked to trace a letter in the questioned document by pen-tablet or mouse. This creates an on-line trajectory of the allograph of that letter. The trajectory is then matched to a database of on-line allograph prototypes and the WAM will present the best matches for the user to choose from see Figure 4.
The label of this best matching prototype is then used as one of the features in writer identification. Figure 4: The presentation of the matching allograph prototypes. The allograph match was added to the WAM as a proof of concept for recognition-based measurements. The idea is that if the program is able to recognize the written text, it can automatically and objectively measure all needed features for writer identification.
As an added advantage, it opens up the well-researched area of pattern recognition techniques, techniques which are often directly applicable to writer identification. Another example of this can be found in [26, 27]. Note that the allograph matcher does not use any actual ink information, so it can only be used to provide a proof of concept for the second part of the recognition based measurements from recognized text to measurements. However, it does provide the WAM with on-line information that the ink itself does not offer.
Therefore, the allograph measure is, next to a proof of concept, a very useful measure by itself. As the allograph matcher is still a topic of research, it will regularly need an update. By making it a plug-in, the allograph matcher can be used already in WANDA without the need for issuing new versions to the users on a regular basis. FISH has been used for over a decade and a large database of cases has evolved. No compatibility would mean make this huge pool of knowledge useless.
This was not acceptable. A validation procedure was conducted to ensure that the results are compatible. Two kinds of validation were performed: one on the images that were measured and one on the measurement results. The first validation ensures that the scanned image on which WANDA measures the features is equal to the actual handwriting on paper.
The image validation was done by measuring features on paper and the same features from the image file. Measurements on paper were performed with both a measure with a millimeter scale slightly too coarse and a high-resolution microscope very precise.
Those were compared to the digitized version dpi of the image of which the number of pixels for the features was determined and to the results of measuring those features in the WAM in tenths of millimeters. While dpi is not the most precise resolution, it is equal or higher than the resolutions used in the FISH files mostly dpi.
The resulting comparison showed that the image features were equal to the features on paper within the margin for error. For each scan, the original FISH features were available.
All FISH measurements were carefully redone in the WAM tool and the average measure was compared per measurement type only averages for each kind of measurement for each image were available from FISH.
The measurements are color-coded by type, to enable the user to quickly identify them and to avoid cluttering the image too much. The buttons on the left allow the user to choose the type of measurement. When the user initiates a measurement, a new window is opened. This window is similar for all measurements see Figure 6. It consists of the ROI containing the handwriting to measure on nr. The novelty here is the instruction window, which gives clear instructions to the user on which step to take next in the measurement.
This allows novice users to start measuring right away. Especially the experiences of the novice users were important, as they clearly showed that the interface and measurement instruction window served their purpose. A usability study will be held to find and correct those niggles that may still exist in the interface. Furthermore, the allograph matcher showed the interesting overlap between pattern recognition and identification.
This cross-over can be exploited to further automatize the measurement process and to delete as much subjectivity in the results as possible. However, with current background removal methods, it now becomes feasible to use automatic image-based features on regions of interest which describe the individuality of handwriting style.
Nevertheless, a single feature representation cannot be expected to capture all particu- larities of writing style, and combination methods are needed. The application domain precludes the use of training on the large data-sets such that sparse-parametric combination methods are preferred . Forensic writer search is similar to Information Retrieval yielding a hit list, in this case of suspect documents, given a query in the form of a ques- tioned script sample.
Given the requirements, simple nearest-neighbor search is a viable solution.
However, a proper distance function has to be identified. For the combination of results, rank combination Borda will be tested.
Complementarity of extracted information in the feature group was an important design goal. Every row of the image is shifted onto itself by a given offset and then the normalized dot product between the original row and the shifted copy is computed. The maximum offset 'delay' corresponds to pixels. All auto-correlation functions are then accumulated for all rows and the sum is normalized to obtain a zero-lag correlation of 1. Feature Explanation Dim.
Run lengths are determined on the binarized image taking into consideration either the black pixels corresponding to the ink trace width distribution or the white pixels corresponding to the horizontal stroke and character- placement distribution for the writer.
The histogram of run lengths is normalized and interpreted as a probability distribution. We use horizontal run lengths of up to pixels f3 and vertical run lengths f2 of up to pixels, i. This feature is not size invariant. However, size normalization is not an issue in interactive writer search. The run-length PDFs provide orthogonal information to the directional features. It is known that axial pen force 'pressure' is a highly informative signal in on-line writer identi- fication.
In ink traces of ball-point pens, there exist lift-off and landing shapes in the form of blobs or tapering due to the ink-depositing process during take off and landing of the pen.
A convolution window of 15x15 pixels was used, only accumulating the local image if the current region 1 PDF — probability density function obeys to the constraints for a stroke ending. After summing all luminances, the accumulator window is normalized to a volume of 1, yielding a PDF for ink presence at stroke endings in any direction. Sixteen bins were used in the histogram Figure 7. Figure 7: left Two handwriting samples from two different subjects.
In order to capture the curvature of the ink trace, which is very typical for different writers, another feature is needed, using local angles along the edges . The computation of this feature is similar to the one previously described, but it has added complexity. The orientation is quantized in 16 directions for a single angle. This feature is an variant of the edge-hinge feature, in that the combination of angles is computed along the rows of the image.
For the angle of a found edge fragment i , the co-occurrence probability is computed with the angles of fragments j which are horizontally displaced from i. The parameters are represented as a bit vector. This feature is added to underscore the possibility of using heterogeneous sources of information in a rank- combination scheme.
In this study, we tested the use of the Sum operator. The problem of the Sum operator is that all votes are treated equally. Recent tests with the Min operator, reported elsewhere [25, 27], have given indications that this rule may be preferable if a good solution for ties is used. A number of Dutch subjects wrote four different A4 pages.
On page 1 they were asked to copy a text presented as machine-printed characters. On page 2 they were asked to describe a given cartoon in their own words.
The same kind of paper, pen and support were used for all subjects. Performance was tested using leave-one out. For a query sample, the set w will contain one matching sample of the same writer and distractor samples by other writers. Ongoing studies have revealed still better identification performances if a feature vectors are computed separately from upper and lower parts of lines of text , and additional improvement if b local component-shape features are used. A summary of results on writer identification experiments using the Firemaker data set is given in table 4.
Primary we are envisaging its usage in forensic case work. We expect a huge potential for research and development in the field of forensic handwriting and signature analysis as well as writer identification. Particularly, advanced software modules for the computer- based validation of signatures [4,31,32] and the analysis of stroke morphologies [18,30] introduces new objective examination procedures that are not available in current computer systems [1,8,12,15].
In the near future, we foresee adaptations and extensions of the data model and its corresponding modeling language WandaXML according to reviews by forensic handwriting experts as well as by new demands arising with upcoming investigation and analysis objectives [33,34,35].
It is understood that those objectives will also result in the integration of further client and server plug-ins. The framework and data format will be particularly useful for research and development since it will allow researchers to parse and annotate large bodies of data, partially manually, partially automatically.
Such data will lend themselves to statistical data analysis to automate writer identification, extract new features of interest, infer new correlation between handwriting attributes, and improve handwriting recognition. The existence of publicly available data formatted in a standard way will stimulate research for forensic applications.
We foresee the possibility of organizing benchmarks based on such data.
A standard data format also facilitates and stimulates data exchange. We anticipate that their will be a growing body of data incorporating contributions of many institutions. Moreover, we are thinking of further improvements of the WANDA Workbench itself, as for example providing easy-to-use administration tools with graphical user interfaces and wizards.
Another point is extending the workbench to customizable central views. It should be possible that developers can implement and integrate their own central views. This is the final step for allowing such called domain theme were the WANDA workbench can be set up to an application domain by using a dedicated data viewer e.